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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
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  Data: <searchLink fieldCode="AU" term="%22Wang+M%22">Wang M</searchLink>; Department of Biostatistics, Zhongshan Hospital, Fudan University, Shanghai, China; Clinical Research Unit, Institute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Li+W%22">Li W</searchLink>; Department of Biostatistics, Zhongshan Hospital, Fudan University, Shanghai, China; Clinical Research Unit, Institute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Lu+Z%22">Lu Z</searchLink>; Department of Biostatistics, Zhongshan Hospital, Fudan University, Shanghai, China; Clinical Research Unit, Institute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Wang+Y%22">Wang Y</searchLink>; Department of Biostatistics, Zhongshan Hospital, Fudan University, Shanghai, China; Clinical Research Unit, Institute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Huang+L%22">Huang L</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Chen+F%22">Chen F</searchLink>; Department of Biostatistics, Nanjing Medical University, Nanjing, China.
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  Data: <searchLink fieldCode="JN" term="%228801383%22">Journal of clinical epidemiology</searchLink> [J Clin Epidemiol] 2026 May; Vol. 193, pp. 112188. <i>Date of Electronic Publication: </i>2026 Feb 18.
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        Value: 10.1016/j.jclinepi.2026.112188
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              Text: 2026 May
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