Jonathan French, Sc.D.

Group Leader, Fellow I

Jonathan has over 10 years of drug development experience. He began his career as a project statistician; designing, analyzing and interpreting clinical trials in depression and ADHD. His primary areas of expertise range from model-based meta-analysis and applied Bayesian methods to modeling time-to-event data and missing data mechanisms.

Recent publications by this scientist

Complex genetic dependencies among growth and neurological phenotypes in healthy children: Towards deciphering developmental mechanisms

December 3, 2020

Uechi L, Jalali M, Wilbur JD, French JL, Jumbe NL, Meaney MJ, Gluckman PD, Karnani N, Sakhanenko NA, Galas DJ; GUSTO study group. PLoS One. 2020 Dec 3;15(12):e0242684. doi: 10.1371/journal.pone.0242684.

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Comparison of TGD-OS models with a long-term surviving fraction

November 4, 2020

Ramon I. Garcia, Seth Robey, Pavan Vaddady, Lokesh Jain, Jonathan L French.  Poster presented at 2020 American Conference on Pharmacometrics (ACoP11) virtual meeting. 12 November 2020.


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Improving strategic decision-making with early prediction of survival outcomes in oncology clinical trials

November 2, 2020

Presentation by Jonathan L. French, Sc.D. at 2020 American Conference on Pharmacometrics (ACoP11) virtual meeting. 11 November 2020.

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