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Denise Esserman, PhD

Professor of Biostatistics

Research Summary

My research has mainly been collaborative, such that any methods work that I have done has developed from these relationships. For example, in working with a scholar on her K23 award, we realized there were no sample size formulas for randomized control trials with educational interventions in which one arm is randomized to a group setting while the other is left in clusters of size 1, and thus developed and published this methodology. I am currently interested in methods related to clustered randomized trials, and the impact of the ICC and other factors on calculating sample size. I enjoy working on problems with a very applied focus.

Specialized Terms: Applied Survey Sampling; Survey Sampling; Longitudinal Data; Clustered Clinical Trials; Adherence Data

Coauthors

Research Interests

Longitudinal Studies; Public Health; Sampling Studies; Randomized Controlled Trial; Biostatistics

Selected Publications

Clinical Trials

ConditionsStudy Title
Mental Health & Behavioral ResearchEQuIP