Daniel G. Polhamus, Ph.D

Group Leader Statistics, Principal Scientist II

Dan joined Metrum in September, 2010 and is an applied statistician with an emphasis on Bayesian biostatistics, clinical trial design, and high performance statistical computing. His dissertation topic was adaptive design for heterogeneous time-to-event data in a Bayesian decision theory framework.

Recent publications by this scientist

Exposure-Safety Markov Modeling of Ocular Adverse Events in Patient Populations Treated With Tisotumab Vedotin

July 24, 2023

The current analysis aimed to characterize exposure-response relationships of TV exposure on the incidence, severity, and longitudinal time course of grade ≥2 ocular adverse events (AEs).

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Longitudinal Exposure-Response Modeling of Multiple Indicators of Alzheimer’s Disease Progression

August 7, 2023

This study aimed to combine modeling techniques from psychometric research (e.g., item response theory) and pharmacometrics (e.g., hierarchical models) to describe the multivariate longitudinal disease progression for patients with mild-to-moderate Alzheimer’s disease.

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Exposure-response analysis of efficacy and safety for pexidartinib in patients with tenosynovial giant cell tumor (TGCT)

October 12, 2021

Yin O, Zahir H, French J, Polhamus D, Wang X, Van de Sande M, Tap WD, Gelderblom H, Wagner AJ, Healey JH, Greenberg J, Shuster D, Stacchiotti S. CPT: Pharmacometrics & Systems Pharmacology. 2021101422– 1432. doi:10.1002/psp4.12712

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