BIO 613 - Life Tables and Survival Analysis (3 credits)
Prerequisites: biostatistics core course; a thorough knowledge of pre-calculus mathematics is assumed; calculus is strongly recommended but not required. Introduction to theory and applications. Recognition of situations that call for life table methods. Selection and application of methods and analysis. Explanation and interpretation of analyses.

BIO 614 - Categorical Data Analysis (3 credits)
Prerequisites: biostatistics core course or equivalent. A practical introduction to methods for analysis of frequency tabulations commonly used in public health research. Exercises are based on public health literature. Evaluate relationships between categorical factors by which frequency data are cross-classified. Apply principles of study design and sample size planning. Provide statistically valid interpretation of results from categorical data analysis. A statistical computer package such as SAS, STATA or SPSS is used for computation.

BIO 618 - Nonparametric Statistical Methods (3 credits)
Prerequisites: biostatistics core course or equivalent. Choose and apply the most appropriate parametric or nonparametric test or procedure for analyzing a given set of research data, taking into consideration the manner in which the sample was drawn, the nature of the population from which it was drawn, and the kind of measurement or scaling that was employed to define the variables in the study.

BIO 619 - Biostatistical Consulting (2 credits)
Prerequisites: biostatistics, epidemiology, and health information systems core courses. Provides skills needed for statistical consulting in public health.