Course Description
Continuation of Population Health Statistics I. Analysis of variance: completely randomized design; randomized complete block; repeated measures; factorial designs; nonparametric alternatives. Multivariable modeling: multiple linear regression; logistic regression; survival analysis using Kaplan- Meier and Cox models. Computing applications will utilize menu- driven software.
Athena Title
POP HEALTH STAT II
Equivalent Courses
Not open to students with credit in or STAT 6220, STAT 6320, BIOS 7020
Prerequisite
POPH 8310L or permission of department
Semester Course Offered
Offered fall
Grading System
A - F (Traditional)
Course Objectives
This second course in biomedical statistics introduces students to multivariable analytical methods that are commonly employed in biomedical research. After completing the course, students should be able to 1) recognize the difference between independent and correlated data structures, 2) interpret and critically evaluate the results of basic multivariable statistical methods as they are presented in the biomedical literature, and 3) apply the methods to a new set of data with some guidance from a statistician.
Topical Outline
One-factor Analysis of Variance Completely Randomized Design Randomized Complete Block Design Repeated Measures Design Factorial Design Kruskal-Wallis and Friedman Tests Multiple Regression for Prediction and Association Assessment Confounding and Interactions Model Checking and Diagnostics Model Selection Logistic Regression Conditional Logistic Regression Survival Analysis / Kaplan-Meier and Cox Proportional Hazards Model