Statistical Modeling with Applications in Clinical Research

Catalog description

Statistical modeling methods and strategies for analyzing data in clinical research, including randomized and non-randomized clinical trials. Standard Normal-theory, logistic, and Cox proportional hazard regression methods, emphasizing that these tools provide a unified schema to use linear models for continuous and categorical predictors of outcomes that are continuous, binary, or time-to-event with censoring. Repeated measures analysis using summary measures versus modern mixed models. Spline models for non-linear relationships. Extending the logistic model for ordinal outcomes. Propensity analysis. Software: R. Prereq: Must be enrolled in School of Medicine and consent of CCLCM Office.