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 ...
Author: Donald B. Rubin
Publisher: Cambridge University Press
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.
“Using multivariate matched sampling and regression adjustment to control bias
in observational studies.” Journal of the American Statistical Association, 74: 318-
28. — (2006). Matched Sampling for Causal Effects. Cambridge: Cambridge ...
Author: Sherry Glied
Publisher: OUP Oxford
Category: Business & Economics
The Oxford Handbook of Health Economics provides an accessible and authoritative guide to health economics, intended for scholars and students in the field, as well as those in adjacent disciplines including health policy and clinical medicine. The chapters stress the direct impact of health economics reasoning on policy and practice, offering readers an introduction to the potential reach of the discipline. Contributions come from internationally-recognized leaders in health economics and reflect the worldwide reach of the discipline. Authoritative, but non-technical, the chapters place great emphasis on the connections between theory and policy-making, and develop the contributions of health economics to problems arising in a variety of institutional contexts, from primary care to the operations of health insurers. The volume addresses policy concerns relevant to health systems in both developed and developing countries. It takes a broad perspective, with relevance to systems with single or multi-payer health insurance arrangements, and to those relying predominantly on user charges; contributions are also included that focus both on medical care and on non-medical factors that affect health. Each chapter provides a succinct summary of the current state of economic thinking in a given area, as well as the author's unique perspective on issues that remain open to debate. The volume presents a view of health economics as a vibrant and continually advancing field, highlighting ongoing challenges and pointing to new directions for further progress.
Figure 9.2 summarizes the causal effect of ELH residence on selected
educational outcomes observed among adolescent children living in the Ethel
Lawrence Homes by attaching parameter estimates derived from the matched sample ...
Author: Douglas S. Massey
Publisher: Princeton University Press
Category: Social Science
Under the New Jersey State Constitution as interpreted by the State Supreme Court in 1975 and 1983, municipalities are required to use their zoning authority to create realistic opportunities for a fair share of affordable housing for low- and moderate-income households. Mount Laurel was the town at the center of the court decisions. As a result, Mount Laurel has become synonymous with the debate over affordable housing policy designed to create economically integrated communities. What was the impact of the Mount Laurel decision on those most affected by it? What does the case tell us about economic inequality? Climbing Mount Laurel undertakes a systematic evaluation of the Ethel Lawrence Homes--a housing development produced as a result of the Mount Laurel decision. Douglas Massey and his colleagues assess the consequences for the surrounding neighborhoods and their inhabitants, the township of Mount Laurel, and the residents of the Ethel Lawrence Homes. Their analysis reveals what social scientists call neighborhood effects--the notion that neighborhoods can shape the life trajectories of their inhabitants. Climbing Mount Laurel proves that the building of affordable housing projects is an efficacious, cost-effective approach to integration and improving the lives of the poor, with reasonable cost and no drawbacks for the community at large.
Rubin , D.B. The use of matched sampling and regression adjustment to remove
bias in observational studies . Biometrics 29 : 185–203 , 1973b . Rubin , D.B.
Estimating causal effects of treatments in randomized and nonrandomized
D . B . Rubin , Estimating causal effects of treatments in randomized and
nonrandomized studies . J . Educ . Psychol . 1974 ; 66 : 688 – 701 . 4 . D . B .
Rubin , Matched Sampling for Causal Effects . Cambridge , UK : Cambridge
University Press ...
Author: Lisa Marie Sullivan
Here you'll find more than 500 entries from the world's leading experts in the field on the basic concepts, methodologies, and applications in clinical trials. The range of topics includes: basic statistical concepts, design and analysis of clinical trials, ethics, regulatory issues, and methodologies for clinical data management and analysis
Rosenbaum , P . R . , and D . B . Rubin , " The Central Role of the Propensity
Score in Observational Studies for Causal Effects , " Biometrika , 70 : 41 - 55 ,
1983 . Record , J . C . , M . McCally , 5 . 0 . Schweitzer , R . M . Blomquist , and B .
The Central Role of the Propensity Score in Observational Studies for Causal Effects , ” Biometrika , Vol . ... Constructing a Control Group Using Multivariate Matched Sampling Methods that Incorporate the Propensity Score , ” The
Author: JOCHEN KLUVE, HARTMUT LEHMAM, AND CHRISTOPH M SCHMIDTPublish On: 2002
Disentangling Treatment Effects of Polish Active Labor Market Policies: Evidence
from Matched Samples Jochen Kluve AWI ... This paper estimates causal effects
of two Polish active labor market policies – Training and Intervention Works – on
Author: JOCHEN KLUVE, HARTMUT LEHMAM, AND CHRISTOPH M SCHMIDT
Evidence from Matched Samples Jochen Kluve, Hartmut Lehmann, Christoph M.
Schmidt ... 3298 Disentangling Treatment Effects of Polish Active Labour Market
Policies : Evidence from Matched Samples * This paper estimates causal effects
The central role of the propensity score in observational studies for causal effects.
Biometrika, 70, 41-55. Rubin, D. B. (1970). The Use of Matched Sampling and
Regression Adjustment in Observational Studies. Ph.D. thesis. Harvard
Author: Poduri S. R. S. Rao
Review articles by former students, colleagues, and friends of W. G. Cochran summarize and evaluate the pioneering work of this great statistician, and examine research and its impact on various areas of statistics including sample survey theory and methodology, experimental design, and biometry and public health.
Matched samples for causal effects . New York : Cambridge University Press .
Ryan , T. ( 2007 ) . Modern experimental design . San Francisco , CA : Wiley
Interscience . Shadish , W. R. , Cook , T. D. , & Cambell , D. T. ( 2001 ) .
Author: Connie Ireland
Research Methods for Criminal Justice and the Social Sciences combines a traditional research book with exercises that allow students to experience research in a controlled environment. It is a companion methods/manual for use with most traditional social scientific research textbooks. This book offers readers basic information about methodological concerns (brief readings); and a variety of practices exercises relating to those readings. Some features of this book: Each chapter begins with a BRIEF discussion of the elements relevant to a basic understanding of research methods After each section of each chapter are several abstracted reprints containing basic intros of published articles Each reading is then followed with an Application Exercise which relates to the methodological procedure in the abstracted reprint...all exercises were designed to be completed by college students amd allows them to get their "hands dirty with the This is a perfect resource for individuals interested in the field of criminal justice, criminology, or sociology.
Introduction Matched sampling is a methodology for reducing bias due to
observed covariates in observational studies for causal effects . The basic
situation involves one sample of Ne treated subjects and a larger sample of Nc
... P . , AND D . RUBIN , ( 1983a ) , “ The Central Role of the Propensity Score in
Observational Studies for Causal Effects ” ... ROSENBAUM , P . , AND D . RUBIN
, ( 1985 ) , “ Constructing a Control Group Using Multivariate Matched Sampling ...
Author: Alberto Abadie
Category: Approximation theory
Matching estimators for average treatment effects are widely used in evaluation research despite the fact that their large sample properties have not been established in many cases. In this article, we develop a new framework to analyze the properties of matching estimators and establish a number of new results. First, we show that matching estimators include a conditional bias term which may not vanish at a rate faster than root-N when more than one continuous variable is used for matching. As a result, matching estimators may not be root-N-consistent. Second, we show that even after removing the conditional bias, matching estimators with a fixed number of matches do not reach the semiparametric efficiency bound for average treatment effects, although the efficiency loss may be small. Third, we propose a bias-correction that removes the conditional bias asymptotically, making matching estimators root-N-consistent. Fourth, we provide a new estimator for the conditional variance that does not require consistent nonparametric estimation of unknown functions. We apply the bias-corrected matching estimators to the study of the effects of a labor market program previously analyzed by Lalonde (1986). We also carry out a small simulation study based on Lalonde's example where a simple implementation of the biascorrected matching estimator performs well compared to both simple matching estimators and to regression estimators in terms of bias and root-mean-squared-error. Software for implementing the proposed estimators in STATA and Matlab is available from the authors on the web.
... The Central Role of the Propensity Score in Observational Studies for Causal Effects , ” Biometrika , 70 , 41-55 . ( 1985 ) , “ Constructing a Control Group Using
Multivariate Matched Sampling Methods that Incorporate the Propensity Score ...
2006. " Matching estimators of causal effects : Prospects and pitfalls in theory and
practice . ” Sociological Methods and Research 35 : 3–60 . Rubin , Donald B.
1973. “ The use of matched samples and regression adjustment to remove bias
Author: Glenn Firebaugh
Category: Social Science
Seven Rules for Social Research teaches social scientists how to get the most out of their technical skills and tools, providing a resource that fully describes the strategies and concepts no researcher or student of human behavior can do without. Glenn Firebaugh provides indispensable practical guidance for anyone doing research in the social and health sciences today, whether they are undergraduate or graduate students embarking on their first major research projects or seasoned professionals seeking to incorporate new methods into their research. The rules are the basis for discussions of a broad range of issues, from choosing a research question to inferring causal relationships, and are illustrated with applications and case studies from sociology, economics, political science, and related fields. Though geared toward quantitative methods, the rules also work for qualitative research. Seven Rules for Social Research is ideal for students and researchers who want to take their technical skills to new levels of precision and insight, and for instructors who want a textbook for a second methods course. The Seven Rules There should be the possibility of surprise in social research Look for differences that make a difference, and report them. Build reality checks into your research. Replicate where possible. Compare like with like. Use panel data to study individual change and repeated cross-section data to study social change. Let method be the servant, not the master.
... The Central Role of the Propensity Score in Observational Studies for Causal Effects , ” Biometrika , 70 , 41 - 55 . - - - and - - - - - - - - - ( 1985a ) , “ Constructing
a Control Group Using Multivariate Matched Sampling Methods that Incorporate ...