Development and validation of a method to compare outcomes between switchers and continuers in routine clinical practice

When hazard varies over time, evaluating continuers from treatment initiation introduces timing bias that can reverse the apparent direction of treatment effect. SMARTS, combined with confounder adjustment via propensity score matching, IPTW or standardized morbidity ratio weighting, substantially reduced this bias across diverse clinical scenarios and hazard trends.

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Publication Details

Journal
Journal of Comparative Effectiveness Research
Published
2026-05-08
DOI
https://doi.org/10.57264/cer-2024-0099
Primary Topic
Advanced Causal Inference Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and validation of a method to compare outcomes between switchers and continuers in routine clinical practice

Nipun Atreja, Chuan Gao, Xuemei Luo, Amiee Kang et al.
Journal of Comparative Effectiveness Research
Advanced Causal Inference Techniques
article

Development and validation of a method to compare outcomes between switchers and continuers in routine clinical practice

Nipun Atreja, Chuan Gao, Xuemei Luo, Amiee Kang, Xiaoyan Li, Jenny Jiang
article en

Abstract

When hazard varies over time, evaluating continuers from treatment initiation introduces timing bias that can reverse the apparent direction of treatment effect. SMARTS, combined with confounder adjustment via propensity score matching, IPTW or standardized morbidity ratio weighting, substantially reduced this bias across diverse clinical scenarios and hazard trends.

Journal of Comparative Effectiveness Research
Pfizer (United States) (US), Bristol-Myers Squibb (United States) (US)
Good health and well-being
Openalex Percentile: Top 4%
Advanced Causal Inference Techniques
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