High‐Dimensional Disease Risk Score for Dealing With Residual Confounding Bias in Estimating Treatment Effects With a Survival Outcome
Our findings support the use of selected hdDRS methods to address residual confounding bias when estimating treatment effects with survival outcomes. In particular, the hdDRS method using rate-based risk score modeling on unexposed individuals consistently exhibited the least bias. However, the hdPS method showed comparable performance across most evaluated scenarios. We share reproducible R codes to facilitate researchers' adoption and further evaluation of these methods.
Authors
- Mohsen Sadatsafavi (ORCID: https://orcid.org/0000-0002-0419-7862)
- Hubert Wong (ORCID: https://orcid.org/0000-0001-8840-4509)
- Mohammad Ehsanul Karim (ORCID: https://orcid.org/0000-0002-0346-2871)
- James C. Johnston (ORCID: https://orcid.org/0000-0002-2234-5507)
- Victoria Cook (ORCID: https://orcid.org/0000-0002-5296-8465)
- Md. Belal Hossain (ORCID: https://orcid.org/0000-0003-4603-863X)
Institutions
- University of British Columbia (CA)
- St. Paul's Hospital (CA)
- BC Centre for Disease Control (CA)
- Centre for Advancing Health Outcomes (CA)
Publication Details
- Journal
- Pharmacoepidemiology and Drug Safety
- Published
- 2025-07-01
- DOI
- https://doi.org/10.1002/pds.70172
- Primary Topic
- Advanced Causal Inference Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00