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| event study in r: Event History Analysis with R Göran Broström, 2018-09-03 With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life examples. Keeping mathematical details to a minimum, the book covers key topics, including both discrete and continuous time data, parametric proportional hazards, and accelerated failure times. Features Introduces parametric proportional hazards models with baseline distributions like the Weibull, Gompertz, Lognormal, and Piecewise constant hazard distributions, in addition to traditional Cox regression Presents mathematical details as well as technical material in an appendix Includes real examples with applications in demography, econometrics, and epidemiology Provides a dedicated R package, eha, containing special treatments, including making cuts in the Lexis diagram, creating communal covariates, and creating period statistics A much-needed primer, Event History Analysis with R is a didactically excellent resource for students and practitioners of applied event history and survival analysis. |
| event study in r: Critical Event Studies Karl Spracklen, Ian R. Lamond, 2016-05-26 Within events management, events are commonly categorised within two axes, size and content. Along the size axis events range between the small scale and local, through major events, which garner greater media interest, to internationally significant hallmark and mega events such as the Edinburgh Festival and the Tour de France. Content is frequently divided into three forms – culture, sport or business. However, such frameworks overlook and depoliticise a significant variety of events, those more accurately construed as protest. This book brings together new research and theories from around the world and across sociology, leisure studies, politics and cultural studies to develop a new critical pedagogy and critical theory of events. It is the first research monograph that deals explicitly with the concept of critical event studies (CES), the idea that it is impossible to explore and understand events without understanding the wider social, cultural and political contexts. It addresses questions such as can the occupation and reclamation of specific spaces by activists be understood as events within its framework? And is the activity of activists in these spaces a leisure activity? If those, and other similar activities, can be read as events and leisure, what does admitting them into the scope of events management and leisure studies mean for our understanding of them and how the study of events management is to be conceptualised? This title will be of interest to undergraduate and postgraduate students on events management and related courses and scholars interested in understanding the ways in which events are constructed by the social, the cultural and the political. |
| event study in r: Handbook of Corporate Finance Bjørn Espen Eckbo, 2007-05-21 Judging by the sheer number of papers reviewed in this Handbook, the empirical analysis of firms' financing and investment decisions—empirical corporate finance—has become a dominant field in financial economics. The growing interest in everything corporate is fueled by a healthy combination of fundamental theoretical developments and recent widespread access to large transactional data bases. A less scientific—but nevertheless important—source of inspiration is a growing awareness of the important social implications of corporate behavior and governance. This Handbook takes stock of the main empirical findings to date across an unprecedented spectrum of corporate finance issues, ranging from econometric methodology, to raising capital and capital structure choice, and to managerial incentives and corporate investment behavior. The surveys are written by leading empirical researchers that remain active in their respective areas of interest. With few exceptions, the writing style makes the chapters accessible to industry practitioners. For doctoral students and seasoned academics, the surveys offer dense roadmaps into the empirical research landscape and provide suggestions for future work.*The Handbooks in Finance series offers a broad group of outstanding volumes in various areas of finance*Each individual volume in the series should present an accurate self-contained survey of a sub-field of finance*The series is international in scope with contributions from field leaders the world over |
| event study in r: Applied Guide for Event Study Research in Supply Chain Management Wood, Lincoln C., 2022-06-17 While researchers have commonly used event studies in other research areas, the use in supply chain management research is limited—but growing. However, there remain several important research design considerations that must be accounted for over the process of planning, executing, and writing event studies. Because of this, many issues and sources of uncertainty emerge among students and early researchers. There is a need for a comprehensive guide to these common issues and how to address them, delving into the nuances and steps to take. Applied Guide for Event Study Research in Supply Chain Management supports graduate students and researchers to understand how to develop, execute, and publish event studies, specifically in the area of supply chain management, with valuable support for wider management studies. This book anticipates many reviewer and editorial concerns and questions and explores how to design a study that addresses issues before they arise, or how to tackle the issue during the review process. Covering topics such as alternative study designs, event study methods, and interpreting research results, this premier reference source is an indispensable resource for students and faculty of higher education, business executives and managers, librarians, government officials, researchers, and academicians. |
| event study in r: Critical Event Studies Karl Spracklen, Ian R. Lamond, 2016-05-26 Within events management, events are commonly categorised within two axes, size and content. Along the size axis events range between the small scale and local, through major events, which garner greater media interest, to internationally significant hallmark and mega events such as the Edinburgh Festival and the Tour de France. Content is frequently divided into three forms – culture, sport or business. However, such frameworks overlook and depoliticise a significant variety of events, those more accurately construed as protest. This book brings together new research and theories from around the world and across sociology, leisure studies, politics and cultural studies to develop a new critical pedagogy and critical theory of events. It is the first research monograph that deals explicitly with the concept of critical event studies (CES), the idea that it is impossible to explore and understand events without understanding the wider social, cultural and political contexts. It addresses questions such as can the occupation and reclamation of specific spaces by activists be understood as events within its framework? And is the activity of activists in these spaces a leisure activity? If those, and other similar activities, can be read as events and leisure, what does admitting them into the scope of events management and leisure studies mean for our understanding of them and how the study of events management is to be conceptualised? This title will be of interest to undergraduate and postgraduate students on events management and related courses and scholars interested in understanding the ways in which events are constructed by the social, the cultural and the political. |
| event study in r: Event History Analysis Paul David Allison, 1984-11 Drawing on recent event history analytical methods from biostatistics, engineering, and sociology, this clear and comprehensive monograph explains how longitudinal data can be used to study the causes of deaths, crimes, wars, and many other human events. Allison shows why ordinary multiple regression is not suited to analyze event history data, and demonstrates how innovative regression - like methods can overcome this problem. He then discusses the particular new methods that social scientists should find useful. |
| event study in r: Doing Meta-Analysis with R Mathias Harrer, Pim Cuijpers, Toshi A. Furukawa, David D. Ebert, 2021-09-15 Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced but highly relevant topics such as network meta-analysis, multi-three-level meta-analyses, Bayesian meta-analysis approaches and SEM meta-analysis are also covered. A companion R package, dmetar, is introduced at the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide. The programming and statistical background covered in the book are kept at a non-expert level, making the book widely accessible. Features • Contains two introductory chapters on how to set up an R environment and do basic imports/manipulations of meta-analysis data, including exercises • Describes statistical concepts clearly and concisely before applying them in R • Includes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book |
| event study in r: Introducing Survival and Event History Analysis Melinda Mills, 2011-01-19 This book is an accessible, practical and comprehensive guide for researchers from multiple disciplines including biomedical, epidemiology, engineering and the social sciences. Written for accessibility, this book will appeal to students and researchers who want to understand the basics of survival and event history analysis and apply these methods without getting entangled in mathematical and theoretical technicalities. Inside, readers are offered a blueprint for their entire research project from data preparation to model selection and diagnostics. Engaging, easy to read, functional and packed with enlightening examples, ‘hands-on’ exercises, conversations with key scholars and resources for both students and instructors, this text allows researchers to quickly master advanced statistical techniques. It is written from the perspective of the ‘user’, making it suitable as both a self-learning tool and graduate-level textbook. Also included are up-to-date innovations in the field, including advancements in the assessment of model fit, unobserved heterogeneity, recurrent events and multilevel event history models. Practical instructions are also included for using the statistical programs of R, STATA and SPSS, enabling readers to replicate the examples described in the text. |
| event study in r: Event Studies for Financial Research D. Kliger, G. Gurevich, 2014-11-26 Event Studies are overwhelmingly widespread in financial research, providing tools for shedding light on market efficiency, as well as measuring the impact of various occurrences on public firms' security prices. Mastering the Event Study approach is essential for researchers and practitioners alike. Event Studies for Financial Research aims to help readers obtain valuable hands-on experience with Event Study tools and gain technical skills for conducting their own studies. Kliger and Gurevich provide a detailed application of their approach, which consists of: a description of the method; references; guided applications; and elaborated framework for implementing the applications. |
| event study in r: The Econometrics of Financial Markets John Y. Campbell, Andrew W. Lo, A. Craig MacKinlay, 2012-06-28 The past twenty years have seen an extraordinary growth in the use of quantitative methods in financial markets. Finance professionals now routinely use sophisticated statistical techniques in portfolio management, proprietary trading, risk management, financial consulting, and securities regulation. This graduate-level textbook is intended for PhD students, advanced MBA students, and industry professionals interested in the econometrics of financial modeling. The book covers the entire spectrum of empirical finance, including: the predictability of asset returns, tests of the Random Walk Hypothesis, the microstructure of securities markets, event analysis, the Capital Asset Pricing Model and the Arbitrage Pricing Theory, the term structure of interest rates, dynamic models of economic equilibrium, and nonlinear financial models such as ARCH, neural networks, statistical fractals, and chaos theory. Each chapter develops statistical techniques within the context of a particular financial application. This exciting new text contains a unique and accessible combination of theory and practice, bringing state-of-the-art statistical techniques to the forefront of financial applications. Each chapter also includes a discussion of recent empirical evidence, for example, the rejection of the Random Walk Hypothesis, as well as problems designed to help readers incorporate what they have read into their own applications. |
| event study in r: Analyzing Financial Data and Implementing Financial Models Using R Clifford S. Ang, 2021-06-23 This advanced undergraduate/graduate textbook teaches students in finance and economics how to use R to analyse financial data and implement financial models. It demonstrates how to take publically available data and manipulate, implement models and generate outputs typical for particular analyses. A wide spectrum of timely and practical issues in financial modelling are covered including return and risk measurement, portfolio management, option pricing and fixed income analysis. This new edition updates and expands upon the existing material providing updated examples and new chapters on equities, simulation and trading strategies, including machine learnings techniques. Select data sets are available online. |
| event study in r: Introductory Time Series with R Paul S.P. Cowpertwait, Andrew V. Metcalfe, 2009-05-28 This book gives you a step-by-step introduction to analysing time series using the open source software R. Each time series model is motivated with practical applications, and is defined in mathematical notation. Once the model has been introduced it is used to generate synthetic data, using R code, and these generated data are then used to estimate its parameters. This sequence enhances understanding of both the time series model and the R function used to fit the model to data. Finally, the model is used to analyse observed data taken from a practical application. By using R, the whole procedure can be reproduced by the reader. All the data sets used in the book are available on the website http://staff.elena.aut.ac.nz/Paul-Cowpertwait/ts/. The book is written for undergraduate students of mathematics, economics, business and finance, geography, engineering and related disciplines, and postgraduate students who may need to analyse time series as part of their taught programme or their research. |
| event study in r: Advances in Investment Analysis and Portfolio Management Cheng-Few Lee, 2001-09-14 This research annual publication intends to bring together investment analysis and portfolio theory and their implementation to portfolio management. It seeks theoretical and empirical research manuscripts with high quality in the area of investment and portfolio analysis. The contents will consist of original research on: The principles of portfolio management of equities and fixed-income securities. The evaluation of portfolios (or mutual funds) of common stocks, bonds, international assets, and options. The dynamic process of portfolio management. Strategies of international investments and portfolio management. The applications of useful and important analytical techniques such as mathematics, econometrics, statistics, and computers in the field of investment and portfolio management. Theoretical research related to options and futures. In addition, it also contains articles that present and examine new and important accounting, financial, and economic data for managing and evaluating portfolios of risky assets. |
| event study in r: The Routledge Companion to Mergers and Acquisitions Annette Risberg, David R. King, Olimpia Meglio, 2015-06-19 Mergers and acquisitions (M&As) are events that attract considerable interest from academics and practitioners, and much research has been conducted into their impact on individuals, organizations and societies. Yet, despite all the existing research and the varied theoretical and methodological approaches employed, there remains more to learn about M&As. The Routledge Companion to Mergers and Acquisitions takes a detailed look at this multifacted subject using a novel framework of four domains – substantive issues, contextual issues, methodological issues and conceptual issues. Drawing on the expertise of its international team of contributors, the volume surveys the state of the field, including emerging and cutting-edge areas such as social network analysis and corporate branding. This Companion will be a rich resource for students, researchers and practitioners involved in the study of M&As, and organizational and strategic studies more widely. |
| event study in r: Acquisitions by Emerging Multinational Corporations Johannes Distler, 2017-07-27 This thesis analyzes the motivation and performance of 403 acquisitions made by emerging multinational corporations (EMNCs) in Western Europe and North America between 1994 and 2013. The findings indicate that most EMNCs were motivated to acquire in order to obtain access to the upstream and downstream know-how of their target firms. In addition, the thesis' event study results demonstrate that EMNCs on average generated value for their shareholders with their acquisitions over short periods around acquisition announcement. This result is particularly significant since similar studies on buying firms from developed markets have frequently come to the conclusion that acquirers destroy shareholder value. |
| event study in r: Bank Performance, Risk and Firm Financing P. Molyneux, 2015-12-11 This text comprises a selection of papers that provide state of the art insights into bank performance, risk and firm financing post crisis that were presented at the European Association of University Teachers of Banking and Finance Conference (otherwise known as the Wolpertinger Conference) held at Bangor University, Wales, 2010. |
| event study in r: Energy Abstracts for Policy Analysis , 1988 |
| event study in r: Quantitative Analysis of Social and Financial Market Development William A. Barnett, Bruno S. Sergi, 2022-10-03 Quantitative Analysis of Social and Financial Market Development is a crucial resource of current, cutting-edge research exploring the latest social and financial developments across Asia. |
| event study in r: Learning Statistics with R Daniel Navarro, 2013-01-13 Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com |
| event study in r: Quantitative Methods in Finance using R John Fry, Matthew Burke, 2022-07-04 “The book will form a solid foundation to support the transition of students into the world of work or further research.” Professor Jane M Binner, Chair of Finance, Department of Finance, University of Birmingham, UK “In over 20 years of teaching quantitative methods, I have rarely come across a book such as this which meets/exceeds all the expectations of its intended audience so well” Tuan Yu, Lecturer, Kent Business School, Canterbury, UK “This is a fantastic book for anyone wanting to understand, learn and apply quantitative methods in finance using R” Professor Raphael Markellos, Professor of Finance, Norwich Business School, UK Quantitative Methods in Finance Using R draws on the extensive teaching and research expertise of John Fry and Matt Burke, covering a wide range of quantitative methods in Finance that utilise the freely downloadable R software. With software playing an increasingly important role in finance, this book is a must-have introduction for finance students who want to explore how they can undertake their own quantitative analyses in dissertation and project work. Assuming no prior knowledge, and taking a holistic approach, this brand new title guides you from first principles and help to build your confidence in tackling large data sets in R. Complete with examples and exercises with worked solutions, Fry and Burke demonstrate how to use the R freeware for regression and linear modelling, with attention given to presentation and the importance of good writing and presentation skills in project work and data analysis more generally. Through this book, you will develop your understanding of: •Descriptive statistics •Inferential statistics •Regression •Analysis of variance •Probability regression models •Mixed models •Financial and non-financial time series John Fry is a senior lecturer in Applied Mathematics at the University of Hull. Fry has a PhD in Mathematical Finance from the University of Sheffield. His main research interests span mathematical finance, econophysics, statistics and operations research. Matt Burke is a senior lecturer in Finance at Sheffield Hallam University. He holds a PhD in Finance from the University of East Anglia. Burke’s main research interests lie in asset pricing and climate finance. |
| event study in r: The Handbook of News Analytics in Finance Gautam Mitra, Leela Mitra, 2011-07-13 The Handbook of News Analytics in Finance is a landmarkpublication bringing together the latest models and applications ofNews Analytics for asset pricing, portfolio construction, tradingand risk control. The content of the Hand Book is organised to provide arapid yet comprehensive understanding of this topic. Chapter 1 setsout an overview of News Analytics (NA) with an explanation of thetechnology and applications. The rest of the chapters are presentedin four parts. Part 1 contains an explanation of methods and modelswhich are used to measure and quantify news sentiment. In Part 2the relationship between news events and discovery of abnormalreturns (the elusive alpha) is discussed in detail by the leadingresearchers and industry experts. The material in this part alsocovers potential application of NA to trading and fund management.Part 3 covers the use of quantified news for the purpose ofmonitoring, early diagnostics and risk control. Part 4 is entirelyindustry focused; it contains insights of experts from leadingtechnology (content) vendors. It also contains a discussion oftechnologies and finally a compact directory of content vendor andfinancial analytics companies in the marketplace of NA. Thebook draws equally upon the expertise of academics andpractitioners who have developed these models and is supported bytwo major content vendors - RavenPack and Thomson Reuters - leadingproviders of news analytics software and machine readablenews. The book will appeal to decision makers in the banking, finance andinsurance services industry. In particular: asset managers;quantitative fund managers; hedge fund managers; algorithmictraders; proprietary (program) trading desks; sell-side firms;brokerage houses; risk managers and research departments willbenefit from the unique insights into this new and pertinent areaof financial modelling. |
| event study in r: Advanced R Statistical Programming and Data Models Matt Wiley, Joshua F. Wiley, 2019-02-20 Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes multiple examples using R to achieve results, and concludes with a case study. Written by Matt and Joshua F. Wiley, Advanced R Statistical Programming and Data Models shows you how to conduct data analysis using the popular R language. You’ll delve into the preconditions or hypothesis for various statistical tests and techniques and work through concrete examples using R for a variety of these next-level analytics. This is a must-have guide and reference on using and programming with the R language. What You’ll LearnConduct advanced analyses in R including: generalized linear models, generalized additive models, mixed effects models, machine learning, and parallel processing Carry out regression modeling using R data visualization, linear and advanced regression, additive models, survival / time to event analysis Handle machine learning using R including parallel processing, dimension reduction, and feature selection and classification Address missing data using multiple imputation in R Work on factor analysis, generalized linear mixed models, and modeling intraindividual variability Who This Book Is For Working professionals, researchers, or students who are familiar with R and basic statistical techniques such as linear regression and who want to learn how to use R to perform more advanced analytics. Particularly, researchers and data analysts in the social sciences may benefit from these techniques. Additionally, analysts who need parallel processing to speed up analytics are given proven code to reduce time to result(s). |
| event study in r: Data Analysis for Business, Economics, and Policy Gábor Békés, Gábor Kézdi, 2021-05-06 A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data. |
| event study in r: Japanese Economy In Retrospect, The: Selected Papers By Gary R Saxonhouse (In 2 Volumes) Robert M Stern, Gavin Wright, Hugh Patrick, 2010-07-05 Gary R Saxonhouse was one of the leading world scholars on Japanese economy. Born in New York City in 1943, he attended Yale University, where he received his PhD in Economics in 1971. He joined the Faculty of Economics at the University of Michigan beginning in 1970, where he taught throughout his career. The selection of his published papers that comprises this two-volume publication is a testimony and tribute to his remarkable accomplishments and influence that were cut short by his untimely death in November 2006, following a battle with leukemia.Volume I contains a selection of his published papers that have been instrumental in enhancing the understanding of Japan's modern economic history, focusing in particular on the Japanese cotton-spinning industry.Volume II features a selection of his published papers that look at how Japan's technology and innovation were key in promoting Japan's economic success; how its economy was shaped by its comparative advantage and related policies; and how its macro-financial policies were implemented in the course of its economic growth after World War II. |
| event study in r: Theory and Method of Evolutionary Political Economy Hardy Hanappi, Savvas Katsikides, Manuel Scholz-Wäckerle, 2017-01-12 The world is in turmoil, the dynamics of political economy seem to have entered a phase where a ‘return to normal’ cannot be expected. Since the financial crisis, conventional economic theory has proven itself to be rather helpless and political decision makers have become suspicious about this type of economic consultancy. This book offers a different approach. It promises to describe political and economic dynamics as interwoven as they are in real life and it adds to that an evolutionary perspective. The latter allows for a long-run view, which makes it possible to discuss the emergence and exit of social institutions. The essays in this volume explore the theoretical and methodological aspects of evolutionary political economy. In part one, the authors consider the foundational contributions of some of the great economists of the past, while the second part demonstrates the benefits of adopting the methods of computer simulation and agent-based modelling. Together, the contributions to this volume demonstrate the richness, diversity and great explanatory potential of evolutionary political economy. This volume is extremely useful for social scientists in the fields of economics, politics, and sociology who are interested to learn what evolutionary political economy is, how it proceeds and what it can provide. |
| event study in r: Theory and Econometrics of Financial Asset Pricing Kian Guan Lim, 2022-08-22 This book will provide a firm foundation in the understanding of financial economics applied to asset pricing. It carries the real world perspective of how the market works, including behavioral biases, and also wraps that understanding in the context of a rigorous economics framework of investors’ risk preferences, underlying price dynamics, rational choice in the large, and market equilibrium other than inexplicable irrational bubbles. It concentrates on analyses of stock, credit, and option pricing. Existing highly cited finance models in pricing of these assets are covered in detail, and theory is accompanied by rigorous applications of econometrics. Econometrics contain elucidations of both the statistical theory as well as the practice of data analyses. Linear regression methods and some nonlinear methods are also covered. The contribution of this book, and at the same time, its novelty, is in employing materials in probability theory, economics optimization, econometrics, and data analyses together to provide a rigorous and sharp intellect for investment and financial decision-making. Mistakes are often made with far too often sweeping pragmatism without deeply knowing the underpinnings of how the market economics works. This book is written at a level that is both academically rigorous for university courses in investment, derivatives, risk management, as well as not too mathematically deep so that finance and banking graduate professionals can have a real journey into the frontier financial economics thinking and rigorous data analytical findings. |
| event study in r: Handbook Of Eyewitness Psychology 2 Volume Set Michael P. Toglia, J. Don Read, David F. Ross, R.C.L. Lindsay, 2014-05-12 The Handbook of Eyewitness Psychology presents a survey of research and legal opinions from international experts on the rapidly expanding scientific literature addressing the accuracy and limitations of eyewitnesses as a source of evidence for the courts. For the first time, extensive reviews of factors influencing witnesses of all ages – children, adults, and the elderly – are compiled in a single pair of volumes. The disparate research currently being conducted in eyewitness memory in psychology, criminal justice, and legal studies is coherently presented in this work. Volume 1 covers memory for events. Volume 2 cover memory for people. |
| event study in r: Contemporaneous Event Studies in Corporate Finance Jau-Lian Jeng, 2020-11-03 Providing a comprehensive overview of event study methodology in the field of corporate finance, this book discusses how traditional methods verify the significance and insignificance of events in statistical sampling, and emphasize possible deviation from the statistics of interest. However, the author illustrates the flaws of conventional methodology and proposes alternative methods which can be used for a more robust study of estimating normal and abnormal returns. Traditional methods fail to recognize that the importance of an event will also influence the frequency of the occurrence of the event, and consequently they produce subjective sampling results. This book highlights contemporaneous recursive methods which can be used to track down normal returns and avoid arbitrary determination for the estimation and event period. In addition, the author offers an alternative monitoring scheme to identify the events of concern. Addressing a need for more objective sampling methods in corporate finance event studies, this timely book will appeal to students and academics researching financial econometrics and time series analysis, corporate finance and capital markets. |
| event study in r: Handbook of Statistical Methods for Randomized Controlled Trials KyungMann Kim, Frank Bretz, Ying Kuen K. Cheung, Lisa V. Hampson, 2021-08-23 Statistical concepts provide scientific framework in experimental studies, including randomized controlled trials. In order to design, monitor, analyze and draw conclusions scientifically from such clinical trials, clinical investigators and statisticians should have a firm grasp of the requisite statistical concepts. The Handbook of Statistical Methods for Randomized Controlled Trials presents these statistical concepts in a logical sequence from beginning to end and can be used as a textbook in a course or as a reference on statistical methods for randomized controlled trials. Part I provides a brief historical background on modern randomized controlled trials and introduces statistical concepts central to planning, monitoring and analysis of randomized controlled trials. Part II describes statistical methods for analysis of different types of outcomes and the associated statistical distributions used in testing the statistical hypotheses regarding the clinical questions. Part III describes some of the most used experimental designs for randomized controlled trials including the sample size estimation necessary in planning. Part IV describe statistical methods used in interim analysis for monitoring of efficacy and safety data. Part V describe important issues in statistical analyses such as multiple testing, subgroup analysis, competing risks and joint models for longitudinal markers and clinical outcomes. Part VI addresses selected miscellaneous topics in design and analysis including multiple assignment randomization trials, analysis of safety outcomes, non-inferiority trials, incorporating historical data, and validation of surrogate outcomes. |
| event study in r: The Handbook of Eyewitness Psychology: Volume II R.C.L. Lindsay, David F. Ross, J. Don Read, Michael P. Toglia, 2007-02-13 The Handbook of Eyewitness Psychology presents a survey of research and legal opinions from international experts on the rapidly expanding scientific literature addressing the accuracy and limitations of eyewitnesses as a source of evidence for the courts. For the first time, extensive reviews of factors influencing witnesses of all ages-chil |
| event study in r: Introductory Statistics with R Peter Dalgaard, 2008-06-27 This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis. |
| event study in r: Green and Social Economy Finance Karen Wendt, 2021-07-21 Green and Social Economy Finance is a compilation of chapters by experts, linking research and practice. This anthology provides a new thinking on social economy green finance, showing emerging themes and trends. It spans from stock markets, green finance, innovations, digitalization to social finance, governance and theories of change. It concentrates on impact, opportunity recognition and development of financial products designed to finance the green and social economy. Without the attraction of capital, social entrepreneurship, and innovations, green finance can face difficulty in addressing business solutions. Green and social economy is a nascent field. The authors address the conceptualization of green and social solutions and identify new trends in the finance industry products and approaches. The book demonstrates that aligning finance and investment with the Paris Agreement, sustainable development goals and needs and interests of society are feasible. |
| event study in r: Applied Econometrics with R Christian Kleiber, Achim Zeileis, 2008-12-10 R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning language initially - veloped at Bell Laboratories since the late 1970s. The R project was initiated by Robert Gentleman and Ross Ihaka at the University of Auckland, New Zealand, in the early 1990s, and has been developed by an international team since mid-1997. Historically, econometricians have favored other computing environments, some of which have fallen by the wayside, and also a variety of packages with canned routines. We believe that R has great potential in econometrics, both for research and for teaching. There are at least three reasons for this: (1) R is mostly platform independent and runs on Microsoft Windows, the Mac family of operating systems, and various ?avors of Unix/Linux, and also on some more exotic platforms. (2) R is free software that can be downloaded and installed at no cost from a family of mirror sites around the globe, the Comprehensive R Archive Network (CRAN); hence students can easily install it on their own machines. (3) R is open-source software, so that the full source code is available and can be inspected to understand what it really does, learn from it, and modify and extend it. We also like to think that platform independence and the open-source philosophy make R an ideal environment for reproducible econometric research. |
| event study in r: Innovation, Entrepreneurship, and Technological Change Albert N. Link, Donald S. Siegel, 2007-06-07 This book presents a reader-friendly analysis and synthesis of the key economic and management approaches to innovation, entrepreneurship, and technological change. Link and Siegel provide precise definitions of key concepts, present numerous historical examples to illustrate these concepts, outline a framework for analyzing key topics, compare and contrast different theoretical frameworks, provide a reader-friendly interpretation of quantitative and qualitative findings, and emphasize international comparisons of innovation infrastructure and technology policy. Key topics covered include: · basic concepts of innovation and technological change, · a history of the role of the entrepreneur in innovation, · the impact of innovation and information technology on performance, · the analysis of technological spillovers, · innovation in the service sector, · university technology commercialization and entrepreneurship, including property-based institutions such as research parks and incubators, · entrepreneurship in the public sector, · the first systematic analysis and synthesis of the new interdisciplinary literature on technology commercialization and entrepreneurship at universities. While the book reflects the complexities of debate around these topics, it will be an important guide to the area for academics, graduate, and advanced undergraduate students of Business Studies, Economics, Entrepreneurship, and Innovation Studies. The book also provides a roadmap of specific recommendations for managers and policymakers. |
| event study in r: Novel therapies for indolent lymphomas in the cellular therapy era Narendranath Epperla, Sairah Ahmed, 2023-11-06 |
| event study in r: Patient Safety and Quality of Care in Intensive Care Medicine Jean-Daniel Chiche, 2009 The maxim Primum non nocere is almost as old as the practice of medicine. In combination with the principles of beneficence, autonomy and justice, and whilst keeping in mind the confidence and dignity of the patient, it should constitute the basis of our behaviours as physicians and nurses. Since diagnostic and therapeutic interventions have become more complex and their risk/benefit ratios more difficult to assess, the importance of safety and quality of care rises. Avoiding the infliction of harm on our patients has moved into the focus of clinical medicine--Publisher's description. |
| event study in r: Technological Change and Economic Performance Albert N. Link, Donald Siegel, 2003-02-20 This useful new book reviews the literature on technology and economic growth covering historical and theoretical developments such as: *new models for measuring productivity*sources of technical knowledge and technological spillovers*stock market reactions to investment in technologySuch a comprehensive survey is likely to be welcomed by students |
| event study in r: Introductory Econometrics for Finance Chris Brooks, 2008-05-22 This best-selling textbook addresses the need for an introduction to econometrics specifically written for finance students. Key features: • Thoroughly revised and updated, including two new chapters on panel data and limited dependent variable models • Problem-solving approach assumes no prior knowledge of econometrics emphasising intuition rather than formulae, giving students the skills and confidence to estimate and interpret models • Detailed examples and case studies from finance show students how techniques are applied in real research • Sample instructions and output from the popular computer package EViews enable students to implement models themselves and understand how to interpret results • Gives advice on planning and executing a project in empirical finance, preparing students for using econometrics in practice • Covers important modern topics such as time-series forecasting, volatility modelling, switching models and simulation methods • Thoroughly class-tested in leading finance schools. Bundle with EViews student version 6 available. Please contact us for more details. |
| event study in r: Tech Stock Valuation Mark Hirschey, 2003-06-17 The contribution of research and development to a company's market value has grown considerably in recent years. In the mid-1970s, accountants were able to capture on their ledgers 90-95% of a firm's book value, but by 2000 the importance of intangible assets had grown to the point where they could account for only 13-15%. Financial economists and accountants have investigated the link between a firm's market value and its R & D spending, and various factions advocate a variety of positions on the amount and rate of investment, investors' ability to capture returns on that investment, and ways to measure value, investment, and returns. 'Tech Stock Valuation' extends the R & D literature by providing detailed direct evidence on the market value implications of inventive and innovative output. Specifically, the book demonstrates that stock-price effects of patent output are most pronounced in the case of of high-quality patents, where patent quality is measured by scientific merit. Scientific measures of patent quality give tech stock investors and R & D managers a valuable new tool that can be used to measure R & D program effectiveness. At the same time, it gives investors a new tool to help them assess the value of hard-to-measure intangible assets. *Provides detailed direct evidence on the market value implications of inventive and innovative output *Based on recent research, much of which Dr. Hirschey has pioneered *Gives financial professionals a new tool for assessing R & D quality and its relation to market valuation. |
| event study in r: Does Corporate Performance Improve After Mergers? Paul M. Healy, Krishna G. Palepu, Richard S. Ruback, 1992 |
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Security-SPP event ID 16384/16394 - Micr…
Feb 6, 2025 · The Security-SPP event IDs 16384 and 16394 are related to the Software Protection Platform (SPP), which …
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How to create a team calendar which can …
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