PHB 221Biostatistical Methods I
Introductory graduate course on applied statistical data analysis, focusing on multiple linear regression and using the R statistical software. The course addresses issues related to model interpretation, model assumptions, confounding, interactions, testing of coefficients and ANOVA, adjusting for multiple comparisons, heteroscedasticity, model diagnostics, variable selection, prediction error, cross-validation, and resampling via the bootstrap. Renumbered from FMPH 221. Students may not receive credit for PHB 221 and FMPH 221. Must be taken for a letter grade to be applied to the biostatistics degree requirements.
Prerequisites
From the catalog: “biostatistics major or program approval.”
Courses that list PHB 221 as a prerequisite (8)
- PHB 222 Biostatistical Methods II
- 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