Last edited by Akinogal
Saturday, May 2, 2020 | History

6 edition of Matched Sampling for Causal Effects found in the catalog.

Matched Sampling for Causal Effects

by Donald B. Rubin

  • 312 Want to read
  • 25 Currently reading

Published by Cambridge University Press .
Written in English

    Subjects:
  • Probability & statistics,
  • Science/Mathematics,
  • Mathematics,
  • Probability & Statistics - General,
  • Mathematics / Statistics,
  • Sampling (Statistics),
  • Statistical matching

  • The Physical Object
    FormatPaperback
    Number of Pages502
    ID Numbers
    Open LibraryOL7751398M
    ISBN 100521674360
    ISBN 109780521674362

    All these other effects given by the Implicit RELR offset regression are controlled to yield a paired case–control sample of outcome probabilities that is matched through the Topsøe distance that are the same at different levels of the putative causal effect. The end result is a matched sample quasi-experiment that tests the effect of a. The book provides an accessible introduction to the study of matched sampling and will be an indispensable reference for students and researchers in statistics, epidemiology, medicine, economics, education, sociology, political science, and anyone else doing empirical research to evaluate the causal effects of interventions.

      Matched Sampling for Causal Effects Matched Sampling for Causal Effects Wade, Angie D. B. Rubin, Cambridge, Cambridge University Press viii + pp., £ ISBN ‐0‐‐‐2 This book presents a collection of 27 matched sampling papers that were written by Donald B. Rubin and first published between and   Matched Sampling for Causal Effects - häftad, Engelska, Författare: 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 Pages:

    Matched Sampling for Causal Effects by Donald B. Rubin Article in International Statistical Review 75(2) February with 56 Reads How we measure 'reads'. Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction - Ebook written by Guido W. Imbens, Donald B. Rubin. Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction/5(3).


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Matched Sampling for Causal Effects by Donald B. Rubin Download PDF EPUB FB2

Short of taking part in a class taught by Professor Rubin, Matched Sampling for Causal Effects is the best guide to propensity score matching (PSM) I've seen in the literature (and I've read a lot). From its antecedents in discriminant and exact matching to examples of propensity score matching in practice, this work does an thorough job of discussing both the theoretical and applied properties of by: Short of taking part in a class taught by Professor Rubin, Matched Sampling for Causal Effects is the best guide to propensity score matching (PSM) I've seen in the literature (and I've read a lot).

From its antecedents in discriminant and exact matching to examples of propensity score matching in practice, this work does an thorough job of discussing both the theoretical and applied properties of PSM/5(4). Available in: d sampling is often used to help assess the causal effect of some exposure or intervention, typically when randomizedBrand: Donald B Rubin.

This book presents a selection of Donald B. Rubin's research articles on matched sampling, from the early s, when the author was one of the major researchers involved in establishing the field,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 /5(2).

'The book provides an accessible introduction to the study of matched sampling and as such it is well addressed to students and researchers in statistics, epidemiology, medicine, economics, education, sociology, political science, and anyone doing empirical research to evaluate the causal effects Author: Donald B.

Rubin. This volume reprints my publications on matched sampling, or more succinctly, matching, produced during a period of over three decades. My work on matching began just after I graduated college in and has continued to the present, and beyond, in the sense that there are publications on matching subsequent to those collected here, and I have continuing work in progress on the by: 1.

Applications include: (i) matched sampling on the univariate propensity score, which is a generalization of discriminant matching, (ii) multivariate adjustment by subclassification on the propensity score where the same subclasses are used to estimate treatment effects for all outcome variables and in all subpopulations, and (iii) visual representation of multivariate covariance adjustment by a two Cited by: Representative of the methodological part of the potential outcome literature is the collection of papers by Rubin and coauthors, "Matched Sampling for Causal Effects," (MACE, [Rubin, ]) and.

MATCHED SAMPLING FOR CAUSAL EFFECTS DONALD B. RUBIN Harvard University CAMBRIDGE UNIVERSITY PRESS. Contents Contributor Acknowledgments page ix My Introduction to Matched Sampling 1 PART I. THE EARLY YEARS AND THE INFLUENCE OF WILLIAM G. COCHRAN 5 1.

William G. Cochran's Contributions to the Design, Analysis,File Size: KB. 'The book provides an accessible introduction to the study of matched sampling and as such it is well addressed to students and researchers in statistics, epidemiology, medicine, economics, education, sociology, political science, and anyone doing empirical research to evaluate the causal effects of interventions.'/5(2).

This book presents a selection of Donald B. Rubin’s research articles on matched sampling, from the early s, when the author was one of the major researchers involved in establishing the field, to recent contributions to this now extremely active area.

MATCHED SAMPLING FOR CAUSAL EFFECTS 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 for ethical or other reasons. This book presents a selection of Donald B.

Rubin’s research articles on matched sampling, from the. Summary Abstract: Matched sampling is a method for selecting units from a large reservoir of potential controls to produce a control group of modest size that is similar to a treated group with respect to the distribution of observed covariates.

Matched Sampling for Causal Effects by Donald B. Rubin Matched Sampling for Causal Effects | 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. - Matched sampling for causal effects - by Donald B. Rubin Excerpt. My Introduction to Matched Sampling. This volume reprints my publications on matched sampling, or more succinctly, matching, produced during a period of over three decades.

Short of taking part in a class taught by Professor Rubin, Matched Sampling for Causal Effects is the best guide to propensity score matching (PSM) I've seen in the literature (and I've read a lot).

From its antecedents in discriminant and exact matching to examples of propensity score matching in practice, this work does an thorough job of discussing both the theoretical and applied properties of PSM/5. Matched Sampling for Causal Effects - by Donald B.

Rubin September Email your librarian or administrator to recommend adding this book to your organisation's collection. Matched Sampling for Causal Effects.

Donald B. Rubin; Online ISBN: Cited by: The book provides an accessible introduction to the study of matched sampling and will be an indispensable reference for students and researchers in statistics, epidemiology, medicine, economics, education, sociology, political science, and anyone doing empirical research to evaluate the causal effects of interventions.

'The book provides an accessible introduction to the study of matched sampling and as such it is well addressed to students and researchers in statistics, epidemiology, medicine, economics, Zentralblatt MATH "A useful reference for the student of statistics interested in this area.". 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 s, when the author was one of the major researchers.

This book presents a selection of Donald B. Rubin's research articles on matched sampling, from the early s, when the author was one of the major researchers involved in establishing the field, to recent contributions to this now extremely active area/5(2).Cambridge University Press - Matched sampling for causal effects - by Donald B.

Rubin Table of Contents Contents.'The book provides an accessible introduction to the study of matched sampling and as such it is well addressed to students and researchers in statistics, epidemiology, medicine, economics, education, sociology, political science, and anyone doing empirical research to .