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Using propensity scores in quasi-experimental designs

Using propensity scores in quasi-experimental designs (Loan 7 times)

Material type
단행본
Personal Author
Holmes, William M.
Title Statement
Using propensity scores in quasi-experimental designs / William M.Holmes.
Publication, Distribution, etc
Los Angeles :   SAGE,   2014.  
Physical Medium
xvii, 340 p. : ill. ; 24 cm.
ISBN
9781452205267 (pbk. : alk. paper) 1452205264 (pbk. : alk. paper)
Content Notes
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 -- C. SPSS commands for propensity use -- D. SAS commands for propensity use.
Bibliography, Etc. Note
Includes bibliographical references (p. 320-326) and index.
Subject Added Entry-Topical Term
Statistical decision. Experimental design.
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020 ▼a 1452205264 (pbk. : alk. paper)
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100 1 ▼a Holmes, William M.
245 1 0 ▼a Using propensity scores in quasi-experimental designs / ▼c William M.Holmes.
260 ▼a Los Angeles : ▼b SAGE, ▼c 2014.
300 ▼a xvii, 340 p. : ▼b ill. ; ▼c 24 cm.
504 ▼a Includes bibliographical references (p. 320-326) and index.
505 0 0 ▼t Preface -- ▼t Approach of the book -- ▼t Introduction : quasi-experiments and non-equivalent groups -- ▼t Causal inference using control variables -- ▼t Causal inference using counterfactual designs -- ▼t Propensity approaches of quasi-experiments -- ▼t Propensity matching -- ▼t Propensity matching : optimized solution -- ▼t Propensities and covariate controls -- ▼t Use with generalized linear models -- ▼t Propensity with correlated samples -- ▼t Handling missing data -- ▼t Repairing broken experiments -- ▼g A. ▼t STATA commands for propensity use -- ▼g B. ▼t R commands for propensity use -- ▼g C. ▼t SPSS commands for propensity use -- ▼g D. ▼t SAS commands for propensity use.
650 0 ▼a Statistical decision.
650 0 ▼a Experimental design.
945 ▼a KLPA

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 001.434 H753u Accession No. 121230448 Availability Available Due Date Make a Reservation Service B M

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