Evaluating empirical calibration of P values under unmeasured confounding bias: a simulation study and real-world application.

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Title: Evaluating empirical calibration of P values under unmeasured confounding bias: a simulation study and real-world application.
Authors: Wang M; Department of Biostatistics, Zhongshan Hospital, Fudan University, Shanghai, China; Clinical Research Unit, Institute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China., Li W; Department of Biostatistics, Zhongshan Hospital, Fudan University, Shanghai, China; Clinical Research Unit, Institute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China., Lu Z; Department of Biostatistics, Zhongshan Hospital, Fudan University, Shanghai, China; Clinical Research Unit, Institute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China., Wang Y; Department of Biostatistics, Zhongshan Hospital, Fudan University, Shanghai, China; Clinical Research Unit, Institute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China., Huang L; Department of Biostatistics, Zhongshan Hospital, Fudan University, Shanghai, China; Clinical Research Unit, Institute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China. Electronic address: huang.lihong@zs-hospital.sh.cn., Chen F; Department of Biostatistics, Nanjing Medical University, Nanjing, China.
Source: Journal of clinical epidemiology [J Clin Epidemiol] 2026 May; Vol. 193, pp. 112188. Date of Electronic Publication: 2026 Feb 18.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 8801383 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-5921 (Electronic) Linking ISSN: 08954356 NLM ISO Abbreviation: J Clin Epidemiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1878-5921
DOI:10.1016/j.jclinepi.2026.112188