Using balance statistics to determine the optimal number of controls in matching studies-Reference-Cited by-同舟云学术

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Using balance statistics to determine the optimal number of controls in matching studies

Published:2013-08-03 Issue:5 Volume:19 Page:968-975
ISSN:1356-1294
Container-title:Journal of Evaluation in Clinical Practice
language:en
Short-container-title:J Eval Clin Pract

Author:

Linden Ariel¹²,Samuels Steven J.³

Affiliation:

1. Linden Consulting Group; Ann Arbor Michigan USA

2. Department of Health Policy & Management; School of Public Health; University of Michigan; Ann Arbor Michigan USA

3. Department of Epidemiology & Biostatistics; School of Public Health; State University of New York; Albany New York USA

Publisher

Wiley

Subject

Public Health, Environmental and Occupational Health,Health Policy

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/jep.12072/fullpdf

Reference30 articles.

1. Matching to remove bias in observational studies;Rubin;Biometrics,1973

2. Abadie , A. Imbens , G. 2002 Simple and bias-corrected matching estimators for average treatment effects

3. Statistical criteria for selecting the optimal number of untreated subjects matched to each treated subject when using many-to-one matching on the propensity score;Austin;American Journal of Epidemiology,2010

4. One-to-many propensity score matching in cohort studies;Rassen;Pharmacoepidemiology and Drug Safety,2012

5. Matching with multiple controls to estimate treatment effects in observational studies;Smith;Sociological Methodology,1997

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