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

Cost Effectiveness of Individualized Dosing for Hypothetical New Drug in Atopic Dermatitis: A Pharmacometric-Pharmacoeconomic Simulation Study

May 27, 2025

A companion poster to the ASCPT print copy, this visual presentation emphasizes the simulation approach used to evaluate individualized dosing strategies and their economic implications. Results underscore the importance of reducing discontinuation rates to enhance value.

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Pharmacometric-Pharmacoeconomic Modeling and Simulation to Assess Target Product Profile Characteristics in Early Drug Development: Application to Atopic Dermatitis

May 27, 2025

This poster presents a modeling framework linking target product profile characteristics to cost-effectiveness outcomes in early drug development for atopic dermatitis. It highlights how persistence of therapy, more than efficacy metrics, may improve cost utility of new treatments.

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Individualized dosing may improve the cost effectiveness of new therapeutics in atopic dermatitis

May 27, 2025

This study uses pharmacometric and pharmacoeconomic modeling to explore the cost effectiveness of individualized dosing for a hypothetical new atopic dermatitis drug compared to dupilumab. Simulation scenarios tested the impact of treatment discontinuation rates, efficacy variability, and pricing on cost utility outcomes.

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