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Real Effect or Bias? Good Practices for Evaluating the Robustness of Evidence From Comparative Observational Studies Through Quantitative Sensitivity Analysis for Unmeasured Confounding.

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Title: Real Effect or Bias? Good Practices for Evaluating the Robustness of Evidence From Comparative Observational Studies Through Quantitative Sensitivity Analysis for Unmeasured Confounding.
Authors: Faries D; Real-World Access and Analytics, Eli Lilly & Company, Indianapolis, USA., Gao C; Department of Statistics, North Carolina State University, Raleigh, North Carolina, USA., Zhang X; Medical Affairs Biostatistics, CSL Behring, King of Prussia, USA., Hazlett C; Departments of Statistics & Data Science and Political Science, University of California at Los Angeles, Los Angeles, USA., Stamey J; Department of Statistical Science, Baylor University, Waco, USA., Yang S; Department of Statistics, North Carolina State University, Raleigh, North Carolina, USA., Ding P; Department of Statistics, University of California Berkeley, Berkeley, USA., Shan M; Real-World Access and Analytics, Eli Lilly & Company, Indianapolis, USA., Sheffield K; Value, Economics, and Outcomes, Eli Lilly & Company, Indianapolis, USA., Dreyer N; Dreyer Strategies, USA.
Source: Pharmaceutical statistics [Pharm Stat] 2025 Mar-Apr; Vol. 24 (2), pp. e2457. Date of Electronic Publication: 2024 Dec 04.
Publication Type: Journal Article
Journal Info: Publisher: Wiley Country of Publication: England NLM ID: 101201192 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1539-1612 (Electronic) Linking ISSN: 15391604 NLM ISO Abbreviation: Pharm Stat Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Faries+D%22">Faries D</searchLink>; Real-World Access and Analytics, Eli Lilly & Company, Indianapolis, USA.<br /><searchLink fieldCode="AU" term="%22Gao+C%22">Gao C</searchLink>; Department of Statistics, North Carolina State University, Raleigh, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Zhang+X%22">Zhang X</searchLink>; Medical Affairs Biostatistics, CSL Behring, King of Prussia, USA.<br /><searchLink fieldCode="AU" term="%22Hazlett+C%22">Hazlett C</searchLink>; Departments of Statistics & Data Science and Political Science, University of California at Los Angeles, Los Angeles, USA.<br /><searchLink fieldCode="AU" term="%22Stamey+J%22">Stamey J</searchLink>; Department of Statistical Science, Baylor University, Waco, USA.<br /><searchLink fieldCode="AU" term="%22Yang+S%22">Yang S</searchLink>; Department of Statistics, North Carolina State University, Raleigh, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Ding+P%22">Ding P</searchLink>; Department of Statistics, University of California Berkeley, Berkeley, USA.<br /><searchLink fieldCode="AU" term="%22Shan+M%22">Shan M</searchLink>; Real-World Access and Analytics, Eli Lilly & Company, Indianapolis, USA.<br /><searchLink fieldCode="AU" term="%22Sheffield+K%22">Sheffield K</searchLink>; Value, Economics, and Outcomes, Eli Lilly & Company, Indianapolis, USA.<br /><searchLink fieldCode="AU" term="%22Dreyer+N%22">Dreyer N</searchLink>; Dreyer Strategies, USA.
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  Data: <searchLink fieldCode="JN" term="%22101201192%22">Pharmaceutical statistics</searchLink> [Pharm Stat] 2025 Mar-Apr; Vol. 24 (2), pp. e2457. <i>Date of Electronic Publication: </i>2024 Dec 04.
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              Text: 2025 Mar-Apr
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