Matched Sampling for Causal Effects

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Release : 2006-09-04
Genre : Mathematics
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Book Rating : 507/5 ( reviews)

Matched Sampling for Causal Effects - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Matched Sampling for Causal Effects write by Donald B. Rubin. This book was released on 2006-09-04. Matched Sampling for Causal Effects available in PDF, EPUB and Kindle. Matched sampling is often used to help assess the causal effect of some exposure or intervention, typically when randomized experiments are not available or cannot be conducted. This book presents a selection of Donald B. Rubin's research articles on matched sampling, from the early 1970s, when the author was one of the major researchers involved in establishing the field, to recent contributions to this now extremely active area. The articles include fundamental theoretical studies that have become classics, important extensions, and real applications that range from breast cancer treatments to tobacco litigation to studies of criminal tendencies. They are organized into seven parts, each with an introduction by the author that provides historical and personal context and discusses the relevance of the work today. A concluding essay offers advice to investigators designing observational studies. The book provides an accessible introduction to the study of matched sampling and will be an indispensable reference for students and researchers.

Propensity Score Analysis

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Release : 2015
Genre : Business & Economics
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Book Rating : 007/5 ( reviews)

Propensity Score Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Propensity Score Analysis write by Shenyang Guo. This book was released on 2015. Propensity Score Analysis available in PDF, EPUB and Kindle. Provides readers with a systematic review of the origins, history, and statistical foundations of Propensity Score Analysis (PSA) and illustrates how it can be used for solving evaluation and causal-inference problems.

Best Practices in Quantitative Methods

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Release : 2008
Genre : Social Science
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Book Rating : 656/5 ( reviews)

Best Practices in Quantitative Methods - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Best Practices in Quantitative Methods write by Jason W. Osborne. This book was released on 2008. Best Practices in Quantitative Methods available in PDF, EPUB and Kindle. The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the "best" choice—or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods.

Microeconometrics

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Release : 2016-06-07
Genre : Literary Criticism
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Book Rating : 811/5 ( reviews)

Microeconometrics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Microeconometrics write by Steven Durlauf. This book was released on 2016-06-07. Microeconometrics available in PDF, EPUB and Kindle. Specially selected from The New Palgrave Dictionary of Economics 2nd edition, each article within this compendium covers the fundamental themes within the discipline and is written by a leading practitioner in the field. A handy reference tool.

Propensity Score Analysis

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Release : 2015-04-07
Genre : Psychology
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Book Rating : 490/5 ( reviews)

Propensity Score Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Propensity Score Analysis write by Wei Pan. This book was released on 2015-04-07. Propensity Score Analysis available in PDF, EPUB and Kindle. 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).