PHB 222Biostatistical Methods II
Intermediate-level graduate course in the analysis of categorical data. Topics include generalized linear models (logistic, Poisson, loglinear models); maximum likelihood and quasi likelihood approaches; model diagnostics, computational approaches and inferential strategies. Both theory and practice will be addressed. Renumbered from FMPH 222. Students may not receive credit for PHB 222 and FMPH 222. Must be taken for a letter grade to be applied to the biostatistics degree requirements.
Prerequisites
From the catalog: “successful completion of FMPH 221 or PHB 221 and FMPH 244A or PHB 244A or MATH 281A or program approval.”
Courses that list PHB 222 as a prerequisite (9)
- PHB 223 Analysis of Longitudinal Data
- PHB 224 Biostatistical Methods in Clinical Trials
- PHB 225 Topics in Non- and Semi-Parametric Statistics and Functional Data
- PHB 226 Statistical Methods for Observational Studies
- PHB 227 Statistical Learning and Multivariate Analysis
- PHB 228 Statistical Computing
- PHB 241 Biostatistics Rotation
- PHB 242 Advanced Topics in Biostatistics
- PHB 243A Practicum in Biostatistics A