Comparing paired vs non‐paired statistical methods of analyses when making inferences about absolute risk reductions in propensity‐score matched samples-Reference-Cited by-同舟云学术

Comparing paired vs non‐paired statistical methods of analyses when making inferences about absolute risk reductions in propensity‐score matched samples

Published:2011-02-21 Issue:11 Volume:30 Page:1292-1301
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Austin Peter C.¹²³

Affiliation:

1. Institute for Clinical Evaluative Sciences, Toronto, Ont., Canada

2. Department of Health Management, Policy and Evaluation, University of Toronto, Toronto, Ont., Canada

3. Dalla Lana School of Public Health, University of Toronto, Toronto, Ont., Canada

Funder

Re-use of this article is permitted in accordance with the Terms and Conditions set out at [http://wileyonlinelibrary.com/author resources/onlineopen.html]

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.4200

Reference18 articles.

1. The central role of the propensity score in observational studies for causal effects

2. The Relative Ability of Different Propensity Score Methods to Balance Measured Covariates Between Treated and Untreated Subjects in Observational Studies

3. Average causal effects from nonrandomized studies: A practical guide and simulated example.

4. Propensity-score matching in the cardiovascular surgery literature from 2004 to 2006: A systematic review and suggestions for improvement

5. A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003

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