PBHL 460 Intermediate Biostatistics I 3.0 Credits
This course is an overview of statistical models and analysis tools commonly used in epidemiological and public health studies. Topics include simple and multiple linear regression, diagnostics, model-building and remedial measures for regression models, analysis of variance, logistic and conditional logistic regression, and models for multi-category outcome data. Statistical software SAS will be an integral part of the course. Familiarity with SAS (or other statistical software) is expected.
Repeat Status: Not repeatable for credit
Prerequisites: PBHL 211 [Min Grade: C] or (HSCI 345 [Min Grade: C] and PBHL 455 [Min Grade: C]) or (STAT 201 [Min Grade: C] and PBHL 455 [Min Grade: C])