Using propensity scores in quasi-experimental designs

PrefaceApproach of the book -- Introduction : quasi-experiments and non-equivalent groups -- Causal inference using control variables -- Causal inference using counterfactual designs -- Propensity approaches of quasi-experiments -- Propensity matching -- Propensity matching : optimized solution -- P...

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Bibliographische Detailangaben
1. Verfasser: Holmes, William M. (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Los Angeles, Calif. u.a. SAGE 2014
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Zusammenfassung:PrefaceApproach of the book -- Introduction : quasi-experiments and non-equivalent groups -- Causal inference using control variables -- Causal inference using counterfactual designs -- Propensity approaches of quasi-experiments -- Propensity matching -- Propensity matching : optimized solution -- Propensities and covariate controls -- Use with generalized linear models -- Propensity with correlated samples -- Handling missing data -- Repairing broken experiments -- A. STATA commands for propensity use -- B. R commands for propensity use -- SPSS commands for propensity use -- SAS commands for propensity use -- References -- Index.
Preface -- Approach of the book -- Introduction : quasi-experiments and non-equivalent groups -- Causal inference using control variables -- Causal inference using counterfactual designs -- Propensity approaches of quasi-experiments -- Propensity matching -- Propensity matching : optimized solution -- Propensities and covariate controls -- Use with generalized linear models -- Propensity with correlated samples -- Handling missing data -- Repairing broken experiments -- A. STATA commands for propensity use -- B. R commands for propensity use -- SPSS commands for propensity use -- SAS commands for propensity use -- References -- Index.
Beschreibung:Includes bibliographical references and index
Beschreibung:XVII, 340 S.
graph. Darst.
ISBN:9781452205267
978-1-4522-0526-7
9781452270098