WorldCat Identities

Rubin, Donald B.

Works: 98 works in 318 publications in 5 languages and 5,505 library holdings
Genres: Conference papers and proceedings  Textbooks 
Roles: Author, Editor, Other, Interviewee
Classifications: QA279.5, 519.542
Publication Timeline
Most widely held works by Donald B Rubin
Statistical analysis with missing data by Roderick J. A Little( Book )

41 editions published between 1986 and 2016 in 4 languages and held by 1,367 WorldCat member libraries worldwide

Incorporating a large body of new work in the field, this second edition includes the latest applications of modern missing-data methods to real data. The authors also examine the theoretical and technical extensions that take advantage of recent computational advances
Multiple imputation for nonresponse in surveys by Donald B Rubin( Book )

28 editions published between 1987 and 2011 in English and held by 553 WorldCat member libraries worldwide

Demonstrates how nonresponse in sample surveys and censuses can be handled by replacing each missing value with two or more multiple imputations. Clearly illustrates the advantages of modern computing to such handle surveys, and demonstrates the benefit of this statistical technique for researchers who must analyze them
Contrasts and effect sizes in behavioral research : a correlational approach by Robert Rosenthal( Book )

14 editions published between 1999 and 2000 in English and held by 412 WorldCat member libraries worldwide

"Contrasts are statistical procedures for asking focused questions of data. Compared to diffuse or omnibus questions, focused questions are characterized by greater conceptual clarity and greater statistical power when examining those focused questions. If an effect truly exists, we are more likely to discover it and to believe it to be real when asking focused questions rather than omnibus ones. Researchers, teachers of research methods, and graduate students will be familiar with the principles and procedures of contrast analysis but will also be introduced to a series of newly developed concepts, measures, and indices that permit a wider and more useful application of contrast analysis. This volume takes on this new approach by introducing a family of correlational effect size estimates."--Jacket
Test equating by Test Equating Conference( Book )

8 editions published in 1982 in English and held by 342 WorldCat member libraries worldwide

The chapters in this book give a detailed and thorough discussion of test equating from many different points of view. It should be a valuable reference on test equating for a broad audience interested in many aspects of tests and testing -- educational researcher, psychologists, educators, legislators, and others interested in the technical consequences of educational policies
Matched sampling for causal effects by Donald B Rubin( Book )

21 editions published between 2006 and 2008 in English and held by 287 WorldCat member libraries worldwide

Matched sampling is often used to help assess the casual effect of some exposure or intervention, typically when randomised experiments are not available or cannot be conducted. This text provides an accessible introduction to the study of matched sampling
Incomplete data in sample surveys( Book )

in English and held by 256 WorldCat member libraries worldwide

Applied Bayesian modeling and causal inference from incomplete-data perspectives : an essential journey with Donald Rubin's statistical family( Book )

6 editions published in 2004 in English and held by 229 WorldCat member libraries worldwide

"Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives presents an overview with applied examples of these key topics suitable for researchers in all areas of statistics. It adopts a practical approach suitable for applied statisticians working in social and political sciences, biological and medical sciences, and physical sciences, as well as graduate students of statistics and biostatistics."--Jacket
Causal inference for statistics, social, and biomedical sciences : an introduction by Guido Imbens( Book )

18 editions published between 2014 and 2015 in English and held by 195 WorldCat member libraries worldwide

Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with the notion of potential outcomes, each corresponding to the outcome that would be realized if a subject were exposed to a particular treatment or regime. In this approach, causal effects are comparisons of such potential outcomes. The fundamental problem of causal inference is that we can only observe one of the potential outcomes for a particular subject. The authors discuss how randomized experiments allow us to assess causal effects and then turn to observational studies. They lay out the assumptions needed for causal inference and describe the leading analysis methods, including, matching, propensity-score methods, and instrumental variables. Many detailed applications are included, with special focus on practical aspects for the empirical researcher. --Provided by publisher
Estimating the effect of unearned income on labor supply, earnings, savings, and consumption : evidence from a survey of lottery players by Guido Imbens( Book )

19 editions published in 1999 in English and held by 75 WorldCat member libraries worldwide

Knowledge of the effect of unearned income on economic behavior of individuals in general, and on labor supply in particular, is of great importance to policy makers. Estimation of income effects, however, is a difficult problem because income is not randomly assigned and exogenous changes in income are difficult to identify. Here we exploit the randomized assignment of large amounts of money over long periods of time through lotteries. We carried out a survey of people who played the lottery in the mid-eighties and estimate the effect of lottery winnings on their subsequent earnings, labor supply, consumption, and savings. We find that winning a modest prize ($15,000 per year for twenty years) does not affect labor supply or earnings substantially. Winning such a prize does not considerably reduce savings. Winning a much larger prize ($80,000 rather than $15,000 per year) reduces labor supply as measured by hours, as well as participation and social security earnings; elasticities for hours and earnings are around -0.20 and for participation around -0.14. Winning a large versus modest amount also leads to increased expenditures on cars and larger home values, although mortgages values appear to increase by approximately the same amount. Winning $80,000 increases overall savings, although savings in retirement accounts are not significantly affected. The results do not vary much by gender, age, or prior employment status. There is some evidence that for those with zero earnings prior to winning the lottery there is a positive effect of winning a small prize on subsequent labor market participation
Causal inference in prospective and retrospective studies by Paul W Holland( Book )

4 editions published between 1980 and 1987 in English and held by 67 WorldCat member libraries worldwide

Bayesian data analysis by Andrew Gelman( Book )

9 editions published between 1995 and 2014 in English and held by 23 WorldCat member libraries worldwide

Chapter 23: Dirichlet Process ModelsAppendix A: Standard Probability Distributions; Appendix B: Outline of Proofs of Limit Theorems; Appendix C: Computation in R and Stan; References; Back Cover
Multiple imputation of missing blood alcohol concentration (BAC) values in FARS by Donald B Rubin( Book )

2 editions published in 1998 in English and held by 20 WorldCat member libraries worldwide

Incomplete data in sample surveys by National Research Council (U.S.)( Book )

9 editions published between 1982 and 1983 in English and Spanish and held by 16 WorldCat member libraries worldwide

Bayesian Data Analysis, Second Edition by Andrew Gelman( Book )

1 edition published in 2003 in English and held by 11 WorldCat member libraries worldwide

Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform, and critiques statistical analysis from a Bayesian perspective. Changes in the new edition include: added material on how Bayesian methods are connected to other approaches, stronger focus on MCMC, a chapter on further computation topics, more examples, and additional chapters on current models for Bayesian data analysis such as equation models amd generalized linear mixed models. The book is an i
Incomplete data in sample surveys by William G Madow( Book )

5 editions published in 1983 in English and held by 8 WorldCat member libraries worldwide

Transactional analysis of personality and environment by Lawrence A Previn( )

in English and held by 7 WorldCat member libraries worldwide

Finding MLE of patterned covariance matrices by the EM algorithm by Donald B Rubin( Book )

3 editions published in 1981 in English and held by 7 WorldCat member libraries worldwide

The central role of the propensity score in observational studies for causal effects by Paul R Rosenbaum( Book )

3 editions published between 1981 and 1982 in English and held by 6 WorldCat member libraries worldwide

The results of observational studies are often disputed because of nonrandom treatment assignment. For example, patients at greater risk may be overrepresented in some treatment group. This paper discusses the central role of propensity scores and balancing scores in the analysis of observational studies. The propensity score is the (estimated) conditional probability of assignment to a particular treatment given a vector of observed covariates. Both large and small sample theory show that adjustment for the scalar propensity score is sufficient to remove bias due to all observed covariates. Applications include: matched sampling on the univariate propensity score which is equal percent bias reducing under more general conditions than required for discriminant matching, multivariate adjustment by subclassification on balancing scores where the same subclasses are used to estimate treatment effects for all outcome variables and in all subpopulations, and visual representation of multivariate adjustment by a two-dimensional plot. (Author)
On the fragility of instrumental variables estimators by Guido Imbens( Book )

3 editions published in 1994 in English and held by 6 WorldCat member libraries worldwide

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Statistical analysis with missing data
Alternative Names
Donald Rubin American statistician

Donald Rubin Amerikaans psycholoog

Donald Rubin statisticien américain

Rubin, D. B.

Rubin, D. B. 1943-

Rubin, D. B. (Donald B.)

Rubin, D. B. (Donald B.), 1943-

Рубин, Д. Б 1943-


Multiple imputation for nonresponse in surveysContrasts and effect sizes in behavioral research : a correlational approachMatched sampling for causal effectsApplied Bayesian modeling and causal inference from incomplete-data perspectives : an essential journey with Donald Rubin's statistical familyBayesian data analysisBayesian Data Analysis, Second Edition