Handbook Of Matching And Weighting Adjustments For Causal Inference

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Handbook of Matching and Weighting Adjustments for Causal Inference

José R. Zubizarreta,Elizabeth A. Stuart,Dylan S. Small,Paul R. Rosenbaum
Handbook of Matching and Weighting Adjustments for Causal Inference Book PDF

Author : José R. Zubizarreta,Elizabeth A. Stuart,Dylan S. Small,Paul R. Rosenbaum
Publisher : CRC Press
Page : 634 pages
File Size : 49,5 Mb
Release : 2023-04-11
Category : Mathematics
ISBN : 9781000850819

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Handbook of Matching and Weighting Adjustments for Causal Inference by José R. Zubizarreta,Elizabeth A. Stuart,Dylan S. Small,Paul R. Rosenbaum Pdf

An observational study infers the effects caused by a treatment, policy, program, intervention, or exposure in a context in which randomized experimentation is unethical or impractical. One task in an observational study is to adjust for visible pretreatment differences between the treated and control groups. Multivariate matching and weighting are two modern forms of adjustment. This handbook provides a comprehensive survey of the most recent methods of adjustment by matching, weighting, machine learning and their combinations. Three additional chapters introduce the steps from association to causation that follow after adjustments are complete. When used alone, matching and weighting do not use outcome information, so they are part of the design of an observational study. When used in conjunction with models for the outcome, matching and weighting may enhance the robustness of model-based adjustments. The book is for researchers in medicine, economics, public health, psychology, epidemiology, public program evaluation, and statistics who examine evidence of the effects on human beings of treatments, policies or exposures.

Handbook of Bayesian, Fiducial, and Frequentist Inference

James Berger,Xiao-Li Meng,Nancy Reid,Min-ge Xie
Handbook of Bayesian Fiducial and Frequentist Inference Book PDF

Author : James Berger,Xiao-Li Meng,Nancy Reid,Min-ge Xie
Publisher : CRC Press
Page : 421 pages
File Size : 40,5 Mb
Release : 2024-02-26
Category : Mathematics
ISBN : 9781003837640

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Handbook of Bayesian, Fiducial, and Frequentist Inference by James Berger,Xiao-Li Meng,Nancy Reid,Min-ge Xie Pdf

The emergence of data science, in recent decades, has magnified the need for efficient methodology for analyzing data and highlighted the importance of statistical inference. Despite the tremendous progress that has been made, statistical science is still a young discipline and continues to have several different and competing paths in its approaches and its foundations. While the emergence of competing approaches is a natural progression of any scientific discipline, differences in the foundations of statistical inference can sometimes lead to different interpretations and conclusions from the same dataset. The increased interest in the foundations of statistical inference has led to many publications, and recent vibrant research activities in statistics, applied mathematics, philosophy and other fields of science reflect the importance of this development. The BFF approaches not only bridge foundations and scientific learning, but also facilitate objective and replicable scientific research, and provide scalable computing methodologies for the analysis of big data. Most of the published work typically focusses on a single topic or theme, and the body of work is scattered in different journals. This handbook provides a comprehensive introduction and broad overview of the key developments in the BFF schools of inference. It is intended for researchers and students who wish for an overview of foundations of inference from the BFF perspective and provides a general reference for BFF inference. Key Features: Provides a comprehensive introduction to the key developments in the BFF schools of inference Gives an overview of modern inferential methods, allowing scientists in other fields to expand their knowledge Is accessible for readers with different perspectives and backgrounds

Handbook of Measurement Error Models

Grace Y. Yi,Aurore Delaigle,Paul Gustafson
Handbook of Measurement Error Models Book PDF

Author : Grace Y. Yi,Aurore Delaigle,Paul Gustafson
Publisher : CRC Press
Page : 648 pages
File Size : 42,6 Mb
Release : 2021-09-28
Category : Mathematics
ISBN : 9781351588591

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Handbook of Measurement Error Models by Grace Y. Yi,Aurore Delaigle,Paul Gustafson Pdf

Measurement error arises ubiquitously in applications and has been of long-standing concern in a variety of fields, including medical research, epidemiological studies, economics, environmental studies, and survey research. While several research monographs are available to summarize methods and strategies of handling different measurement error problems, research in this area continues to attract extensive attention. The Handbook of Measurement Error Models provides overviews of various topics on measurement error problems. It collects carefully edited chapters concerning issues of measurement error and evolving statistical methods, with a good balance of methodology and applications. It is prepared for readers who wish to start research and gain insights into challenges, methods, and applications related to error-prone data. It also serves as a reference text on statistical methods and applications pertinent to measurement error models, for researchers and data analysts alike. Features: Provides an account of past development and modern advancement concerning measurement error problems Highlights the challenges induced by error-contaminated data Introduces off-the-shelf methods for mitigating deleterious impacts of measurement error Describes state-of-the-art strategies for conducting in-depth research

Handbook of Bayesian Variable Selection

Mahlet G. Tadesse,Marina Vannucci
Handbook of Bayesian Variable Selection Book PDF

Author : Mahlet G. Tadesse,Marina Vannucci
Publisher : CRC Press
Page : 762 pages
File Size : 46,5 Mb
Release : 2021-12-24
Category : Mathematics
ISBN : 9781000510256

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Handbook of Bayesian Variable Selection by Mahlet G. Tadesse,Marina Vannucci Pdf

Bayesian variable selection has experienced substantial developments over the past 30 years with the proliferation of large data sets. Identifying relevant variables to include in a model allows simpler interpretation, avoids overfitting and multicollinearity, and can provide insights into the mechanisms underlying an observed phenomenon. Variable selection is especially important when the number of potential predictors is substantially larger than the sample size and sparsity can reasonably be assumed. The Handbook of Bayesian Variable Selection provides a comprehensive review of theoretical, methodological and computational aspects of Bayesian methods for variable selection. The topics covered include spike-and-slab priors, continuous shrinkage priors, Bayes factors, Bayesian model averaging, partitioning methods, as well as variable selection in decision trees and edge selection in graphical models. The handbook targets graduate students and established researchers who seek to understand the latest developments in the field. It also provides a valuable reference for all interested in applying existing methods and/or pursuing methodological extensions. Features: Provides a comprehensive review of methods and applications of Bayesian variable selection. Divided into four parts: Spike-and-Slab Priors; Continuous Shrinkage Priors; Extensions to various Modeling; Other Approaches to Bayesian Variable Selection. Covers theoretical and methodological aspects, as well as worked out examples with R code provided in the online supplement. Includes contributions by experts in the field. Supported by a website with code, data, and other supplementary material

Inference and Asymptotics

D.R. Cox
Inference and Asymptotics Book PDF

Author : D.R. Cox
Publisher : Routledge
Page : 360 pages
File Size : 41,8 Mb
Release : 2017-10-19
Category : Mathematics
ISBN : 9781351438568

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Inference and Asymptotics by D.R. Cox Pdf

Our book Asymptotic Techniquesfor Use in Statistics was originally planned as an account of asymptotic statistical theory, but by the time we had completed the mathematical preliminaries it seemed best to publish these separately. The present book, although largely self-contained, takes up the original theme and gives a systematic account of some recent developments in asymptotic parametric inference from a likelihood-based perspective. Chapters 1-4 are relatively elementary and provide first a review of key concepts such as likelihood, sufficiency, conditionality, ancillarity, exponential families and transformation models. Then first-order asymptotic theory is set out, followed by a discussion of the need for higher-order theory. This is then developed in some generality in Chapters 5-8. A final chapter deals briefly with some more specialized issues. The discussion emphasizes concepts and techniques rather than precise mathematical verifications with full attention to regularity conditions and, especially in the less technical chapters, draws quite heavily on illustrative examples. Each chapter ends with outline further results and exercises and with bibliographic notes. Many parts of the field discussed in this book are undergoing rapid further development, and in those parts the book therefore in some respects has more the flavour of a progress report than an exposition of a largely completed theory.

The Wiley Handbook of Psychometric Testing

Paul Irwing,Tom Booth,David J. Hughes
The Wiley Handbook of Psychometric Testing Book PDF

Author : Paul Irwing,Tom Booth,David J. Hughes
Publisher : John Wiley & Sons
Page : 550 pages
File Size : 43,7 Mb
Release : 2018-02-12
Category : Education
ISBN : 9781118489826

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The Wiley Handbook of Psychometric Testing by Paul Irwing,Tom Booth,David J. Hughes Pdf

A must-have resource for researchers, practitioners, and advanced students interested or involved in psychometric testing Over the past hundred years, psychometric testing has proved to be a valuable tool for measuring personality, mental ability, attitudes, and much more. The word ‘psychometrics’ can be translated as ‘mental measurement’; however, the implication that psychometrics as a field is confined to psychology is highly misleading. Scientists and practitioners from virtually every conceivable discipline now use and analyze data collected from questionnaires, scales, and tests developed from psychometric principles, and the field is vibrant with new and useful methods and approaches. This handbook brings together contributions from leading psychometricians in a diverse array of fields around the globe. Each provides accessible and practical information about their specialist area in a three-step format covering historical and standard approaches, innovative issues and techniques, and practical guidance on how to apply the methods discussed. Throughout, real-world examples help to illustrate and clarify key aspects of the topics covered. The aim is to fill a gap for information about psychometric testing that is neither too basic nor too technical and specialized, and will enable researchers, practitioners, and graduate students to expand their knowledge and skills in the area. Provides comprehensive coverage of the field of psychometric testing, from designing a test through writing items to constructing and evaluating scales Takes a practical approach, addressing real issues faced by practitioners and researchers Provides basic and accessible mathematical and statistical foundations of all psychometric techniques discussed Provides example software code to help readers implement the analyses discussed

Observational Studies

Paul R. Rosenbaum
Observational Studies Book PDF

Author : Paul R. Rosenbaum
Publisher : Springer Science & Business Media
Page : 244 pages
File Size : 55,8 Mb
Release : 2013-06-29
Category : Mathematics
ISBN : 9781475724431

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Observational Studies by Paul R. Rosenbaum Pdf

An observational study is an empirical investigation of the effects of treatments, policies, or exposures. It differes from an experiment in that the investigator cannot control the assignments of treatments to subjects. Scientists across a wide range of disciplines undertake such studies, and the aim of this book is to provide a sound statistical account of the principles and methods for the design and analysis of observational studies. Readers are assumed to have a working knowledge of basic probability and statistics, but otherwise the account is reasonably self-contained. Throughout there are extended discussions of actual observational studies to illustrate the ideas discussed. These are drawn from topics as diverse as smoking and lung cancer, lead in children, nuclear weapons testing, and placement programs for students. As a result, many researchers involved in observational studes will find this an invaluable companion to their work.

Handbook of Approximate Bayesian Computation

Scott A. Sisson,Yanan Fan,Mark Beaumont
Handbook of Approximate Bayesian Computation Book PDF

Author : Scott A. Sisson,Yanan Fan,Mark Beaumont
Publisher : CRC Press
Page : 679 pages
File Size : 52,7 Mb
Release : 2018-09-03
Category : Mathematics
ISBN : 9781439881514

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Handbook of Approximate Bayesian Computation by Scott A. Sisson,Yanan Fan,Mark Beaumont Pdf

As the world becomes increasingly complex, so do the statistical models required to analyse the challenging problems ahead. For the very first time in a single volume, the Handbook of Approximate Bayesian Computation (ABC) presents an extensive overview of the theory, practice and application of ABC methods. These simple, but powerful statistical techniques, take Bayesian statistics beyond the need to specify overly simplified models, to the setting where the model is defined only as a process that generates data. This process can be arbitrarily complex, to the point where standard Bayesian techniques based on working with tractable likelihood functions would not be viable. ABC methods finesse the problem of model complexity within the Bayesian framework by exploiting modern computational power, thereby permitting approximate Bayesian analyses of models that would otherwise be impossible to implement. The Handbook of ABC provides illuminating insight into the world of Bayesian modelling for intractable models for both experts and newcomers alike. It is an essential reference book for anyone interested in learning about and implementing ABC techniques to analyse complex models in the modern world.

Propensity Score Analysis

Wei Pan,Haiyan Bai
Propensity Score Analysis Book PDF

Author : Wei Pan,Haiyan Bai
Publisher : Guilford Publications
Page : 417 pages
File Size : 53,8 Mb
Release : 2015-04-07
Category : Psychology
ISBN : 9781462519491

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Propensity Score Analysis by Wei Pan,Haiyan Bai Pdf

This book is designed to help researchers better design and analyze observational data from quasi-experimental studies and improve the validity of research on causal claims. It provides clear guidance on the use of different propensity score analysis (PSA) methods, from the fundamentals to complex, cutting-edge techniques. Experts in the field introduce underlying concepts and current issues and review relevant software programs for PSA. The book addresses the steps in propensity score estimation, including the use of generalized boosted models, how to identify which matching methods work best with specific types of data, and the evaluation of balance results on key background covariates after matching. Also covered are applications of PSA with complex data, working with missing data, controlling for unobserved confounding, and the extension of PSA to prognostic score analysis for causal inference. User-friendly features include statistical program codes and application examples. Data and software code for the examples are available at the companion website (www.guilford.com/pan-materials).

Handbook of Self-Regulation

Monique Boekaerts,Paul R Pintrich,Moshe Zeidner
Handbook of Self Regulation Book PDF

Author : Monique Boekaerts,Paul R Pintrich,Moshe Zeidner
Publisher : Elsevier
Page : 814 pages
File Size : 53,8 Mb
Release : 2005-07-25
Category : Education
ISBN : 9780123695192

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Handbook of Self-Regulation by Monique Boekaerts,Paul R Pintrich,Moshe Zeidner Pdf

The Handbook of Self-Regulation represents state-of-the-art coverage of the latest theory, research, and developments in applications of self-regulation research. Chapters are of interest to psychologists interested in the development and operation of self-regulation as well as applications to health, organizational, clinical, and educational psychology.This book pulls together theory, research, and applications in the self-regulation domain and provides broad coverage of conceptual, methodological, and treatment issues. In view of the burgeoning interest and massive research on various aspects of self-regulation, the time seems ripe for this Handbook, aimed at reflecting the current state of the field. The goal is to provide researchers, students, and clinicians in the field with substantial state-of-the-art overviews, reviews, and reflections on the conceptual and methodological issues and complexities particular to self-regulation research. Coverage of state-of-the-art in self-regulation research from different perspectives Application of self-regulation research to health, clinical, organizational, and educational psychology Brings together in one volume research on self-regulation in different subdisciplines Most comprehensive and penetrating compendium of information on self-regulation from multi-disciplinary perspectives

Causal Inference in Statistics, Social, and Biomedical Sciences

Guido W. Imbens,Donald B. Rubin
Causal Inference in Statistics Social and Biomedical Sciences Book PDF

Author : Guido W. Imbens,Donald B. Rubin
Publisher : Cambridge University Press
Page : 647 pages
File Size : 44,5 Mb
Release : 2015-04-06
Category : Business & Economics
ISBN : 9780521885881

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Causal Inference in Statistics, Social, and Biomedical Sciences by Guido W. Imbens,Donald B. Rubin Pdf

This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.

Design of Observational Studies

Paul R. Rosenbaum
Design of Observational Studies Book PDF

Author : Paul R. Rosenbaum
Publisher : Springer Science & Business Media
Page : 382 pages
File Size : 50,5 Mb
Release : 2009-10-22
Category : Mathematics
ISBN : 9781441912138

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Design of Observational Studies by Paul R. Rosenbaum Pdf

An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. Design of Observational Studies is divided into four parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaum’s Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates. Part II includes a chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fisher’s striking advice for observational studies, "make your theories elaborate." The second edition of his book, Observational Studies, was published by Springer in 2002.

Bayesian Methods for Finite Population Sampling

Malay Ghosh
Bayesian Methods for Finite Population Sampling Book PDF

Author : Malay Ghosh
Publisher : Routledge
Page : 296 pages
File Size : 47,7 Mb
Release : 2021-12-17
Category : Mathematics
ISBN : 9781351464420

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Bayesian Methods for Finite Population Sampling by Malay Ghosh Pdf

Assuming a basic knowledge of the frequentist approach to finite population sampling, Bayesian Methods for Finite Population Sampling describes Bayesian and predictive approaches to inferential problems with an emphasis on the likelihood principle. The authors demonstrate that a variety of levels of prior information can be used in survey sampling in a Bayesian manner. Situations considered range from a noninformative Bayesian justification of standard frequentist methods when the only prior information available is the belief in the exchangeability of the units to a full-fledged Bayesian model. Intended primarily for graduate students and researchers in finite population sampling, this book will also be of interest to statisticians who use sampling and lecturers and researchers in general statistics and biostatistics.

Mostly Harmless Econometrics

Joshua D. Angrist,Jörn-Steffen Pischke
Mostly Harmless Econometrics Book PDF

Author : Joshua D. Angrist,Jörn-Steffen Pischke
Publisher : Princeton University Press
Page : 392 pages
File Size : 49,6 Mb
Release : 2009-01-04
Category : Business & Economics
ISBN : 9780691120355

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Mostly Harmless Econometrics by Joshua D. Angrist,Jörn-Steffen Pischke Pdf

In addition to econometric essentials, this book covers important new extensions as well as how to get standard errors right. The authors explain why fancier econometric techniques are typically unnecessary and even dangerous.

The Oxford Handbook of Quantitative Methods, Volume 1

Todd D. Little
The Oxford Handbook of Quantitative Methods Volume 1 Book PDF

Author : Todd D. Little
Publisher : Oxford University Press, USA
Page : 536 pages
File Size : 51,8 Mb
Release : 2014
Category : Psychology
ISBN : 9780199370153

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The Oxford Handbook of Quantitative Methods, Volume 1 by Todd D. Little Pdf

The Oxford Handbook of Quantitative Methods in Psychology provides an accessible and comprehensive review of the current state-of-the-science and a one-stop source for best practices in a quantitative methods across the social, behavioral, and educational sciences.