The effect of a constraint on the maximum number of controls matched to each treated subject on the performance of full matching on the propensity score when estimating risk differences-Reference-Cited by-同舟云学术

The effect of a constraint on the maximum number of controls matched to each treated subject on the performance of full matching on the propensity score when estimating risk differences

Published:2020-10-07 Issue:1 Volume:40 Page:101-118
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Austin Peter C.¹²³^ORCID,Stuart Elizabeth A.⁴⁵⁶

Affiliation:

1. ICES Toronto Ontario Canada

2. Institute of Health Policy, Management and Evaluation University of Toronto Toronto Ontario Canada

3. Schulich Heart Research Program Sunnybrook Research Institute Toronto Ontario Canada

4. Department of Mental Health Johns Hopkins Bloomberg School of Public Health Baltimore Maryland USA

5. Department of Biostatistics Johns Hopkins Bloomberg School of Public Health Baltimore Maryland USA

6. Department of Health Policy and Management Johns Hopkins Bloomberg School of Public Health Baltimore Maryland USA

Funder

Canadian Institutes of Health Research

Heart and Stroke Foundation of Canada

Ontario Ministry of Health and Long-Term Care

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8764

Reference33 articles.

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

2. A comparison of 12 algorithms for matching on the propensity score

3. Comparison of Multivariate Matching Methods: Structures, Distances, and Algorithms

4. Substantial Gains in Bias Reduction from Matching with a Variable Number of Controls

5. A characterization of optimal designs for observational studies;Rosenbaum PR;J Royal Stat Soc Ser B,1991

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