Two assumptions of the prior event rate ratio approach for controlling confounding can be evaluated by self-controlled case series and dynamic random intercept modeling

The SCCS and DRIM methods can facilitate appropriate use of the PERR approach to control confounding.

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Publication Details

Journal
Journal of Clinical Epidemiology
Published
2024-09-02
DOI
https://doi.org/10.1016/j.jclinepi.2024.111511
Citations
1
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
0.71

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article

Two assumptions of the prior event rate ratio approach for controlling confounding can be evaluated by self-controlled case series and dynamic random intercept modeling

Yin Bun Cheung, Grant Mackenzie, Xiangmei Ma
1 citations
Journal of Clinical Epidemiology
Statistical Methods in Clinical Trials
0.71
article

Two assumptions of the prior event rate ratio approach for controlling confounding can be evaluated by self-controlled case series and dynamic random intercept modeling

Yin Bun Cheung, Grant Mackenzie, Xiangmei Ma
article en
1 citations

Abstract

The SCCS and DRIM methods can facilitate appropriate use of the PERR approach to control confounding.

Journal of Clinical EpidemiologyVol. 175
MRC Unit the Gambia (GM), Duke-NUS Medical School (SG)
Bill and Melinda Gates Foundation
Openalex Percentile: Top 27%
Statistical Methods in Clinical Trials
0.71
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