The course is designed for medical researchers who are not biostatistics majors. Topics covered include multiple linear regression, regression diagnostics, ANOVA, analysis of covariance, confounding, mediation, moderation, and model selection. At the completion of the course, trainees should be able to understand the appropriate uses of ANOVA and linear regression, to assess their appropriateness and adequacy, to analyze simple datasets taken from the fields of medicine and public health, and to summarize results from regression models via written communication.