— Advanced Topics in Biostatistics

Prerequisites & course information

Course Description: Biostatistical methods and models selected from the following: genetics, bioinformatics and genomics; longitudinal or functional data; clinical trials and experimental design; analysis of environmental data; dose-response, nutrition and toxicology; survival analysis; observational studies and epidemiology; computer-intensive or Bayesian methods in biostatistics. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Repeat Credit: May be repeated when topic differs and only with consent of graduate advisor. Cross Listing: BST 252 . Grade Mode: Letter. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Repeat Credit: May be repeated when topic differs and only with consent of graduate advisor. Cross Listing: BST 252 . Grade Mode: Letter.