4 citations · 5 across the 5 of their papers we have counts for
6 papers
ROC Analysis for Paired Comparison Data
Ran Huo, Mark E. Glickman
Paired comparison models are used for analyzing data that involves pairwise comparisons among a set of objects. When the outcomes of the pairwise comparisons have no ties, the pair…
Athlete rating in multi-competitor games with scored outcomes via monotone transformations
Jonathan Che, Mark Glickman
Sports organizations often want to estimate athlete strengths. For games with scored outcomes, a common approach is to assume observed game scores follow a normal distribution cond…
Inferring medication adherence from time-varying health measures
Kristen B. Hunter, Mark E. Glickman, Luis F. Campos
Medication adherence is a problem of widespread concern in clinical care. Poor adherence is a particular problem for patients with chronic diseases requiring long-term medication b…
Bayesian analysis of longitudinal studies with treatment by indication
Reagan Mozer, Mark E. Glickman
It is often of interest in observational studies to measure the causal effect of a treatment on time-to-event outcomes. In a medical setting, observational studies commonly involve…
(A) Data in the Life: Authorship Attribution of Lennon-McCartney Songs
Mark E. Glickman, Jason I. Brown, Ryan B. Song
The songwriting duo of John Lennon and Paul McCartney, the two founding members of the Beatles, composed some of the most popular and memorable songs of the last century. Despite h…
Measuring Effects of Medication Adherence on Time-Varying Health Outcomes using Bayesian Dynamic Linear Models
Luis F. Campos, Mark E. Glickman, Kristen B. Hunter
One of the most significant barriers to medication treatment is patients' non-adherence to a prescribed medication regimen. The extent of the impact of poor adherence on resulting…