Using propensity scores in quasi-experimental designs / William M. Holmes.

• 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.

Ämnesord

Försöksplanering (statistik)  (sao)

Statistical decision.  (LCSH)

Experimental design.  (LCSH)

Experimental design  (LCSH)

Klassifikation

001.434 (DDC)

Bfa (kssb/8 (machine generated))