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Pharmaceutical Statistics|October 4, 2022
A meta-analytic framework to adjust for bias in external control studiesDevin Incerti, Michael T Bretscher, Ray Lin, et al.JCO Clinical Cancer Informatics|November 21, 2025
Meta-Analysis of Bias in Non-Small Cell Lung Cancer External Control Arms That Use Real-World Progression-Free Survival as the End PointSanaa Bahmane, Chris Harbron, Devin Incerti, et al.Plos One|February 13, 2026
Prognostic pan-cancer and single-cancer models: A large-scale analysis using a real-world clinico-genomic databaseSarah F McGough, Svetlana Lyalina, Devin Incerti, et al.Statistics in Medicine|June 24, 2010
A flexible unified approach to the analysis of pre-clinical combination studiesChris HarbronPharmaceutical Statistics|May 24, 2026
Will the Pharmaceutical Industry Need Statisticians in an AI World?Chris HarbronStatistical Methods in Medical Research|February 13, 2023
Updating the probability of study success for combination therapies using related combination study dataEmily Graham, Chris Harbron, Thomas JakiJournal of Biopharmaceutical Statistics|December 12, 2019
A comparison of stochastic programming methods for portfolio level decision-makingEmily Graham, Thomas Jaki, Chris HarbronStatistics in Medicine|June 10, 2023
Multi-state network meta-analysis of progression and survival dataJeroen P Jansen, Devin Incerti, Thomas A TrikalinosPharmacoeconomics|August 9, 2019
Developing Open-Source Models for the US Health System: Practical Experiences and Challenges to Date with the Open-Source Value ProjectJeroen P Jansen, Devin Incerti, Mark T LinthicumJournal of Managed Care & Specialty Pharmacy|May 1, 2019
Toward Relevant and Credible Cost-Effectiveness Analyses for Value Assessment in the Decentralized U.S. Health Care SystemJeroen P Jansen, Devin Incerti, Jeffrey R CurtisPageof 11