Non-collapsibility and built-in selection bias of period-specific and conventional hazard ratio in randomized controlled trials

We propose that the period-specific hazard ratios should always be avoided due to the profound effects of built-in selection bias.

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Publication Details

Journal
BMC Medical Research Methodology
Published
2024-11-26
DOI
https://doi.org/10.1186/s12874-024-02402-3
Citations
2
Primary Topic
Advanced Causal Inference Techniques
Type
article
Field-Weighted Citation Impact
1.42
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article

Non-collapsibility and built-in selection bias of period-specific and conventional hazard ratio in randomized controlled trials

Menglan Pang, Zihang Lu, Guanbo Wang, Helen Bian
2 citations
BMC Medical Research Methodology
Advanced Causal Inference Techniques
1.42
article

Non-collapsibility and built-in selection bias of period-specific and conventional hazard ratio in randomized controlled trials

Menglan Pang, Zihang Lu, Guanbo Wang, Helen Bian
article en
2 citations

Abstract

We propose that the period-specific hazard ratios should always be avoided due to the profound effects of built-in selection bias.

BMC Medical Research MethodologyVol. 24(1)
Biogen (United States) (US), Harvard University (US), Queen's University (CA), McGill University Health Centre (CA), McGill University (CA)
Climate action
Openalex Percentile: Top 16%
Advanced Causal Inference Techniques
1.42
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