Kristin Linn, PhD is an Assistant Professor in the Department of Biostatistics, Epidemiology, and Informatics at the Perelman School of Medicine. Dr. Linn’s methodological research addresses barriers to incorporating complex, high-dimensional data into models for personalized medicine and biomarker development. Specific issues addressed by her research include missing data, integration of data arising from different sources or study sites, and bias in analyses that can be attributed to the influence of nuisance variables.
Dr. Linn is an expert in the design and analysis of sequential multiple assignment randomized trials (SMART designs). This type of randomized trial is the gold standard for developing personalized, adaptive treatment strategies. In addition to SMART designs, Dr. Linn has experience leading the statistical aspects of standard randomized controlled trials and cluster randomized trials for studying the comparative effectiveness of nudges and other behavioral health interventions.
