Courses Details

BIOSTAT595: Applied Longitudinal Analysis Using R

  • Graduate level
  • Online MPH only
  • This is a first year course for Online students
  • Fall term(s) for online MPH students;
  • 2 credit hour(s) for online MPH students;
  • Instructor(s): Matt Zawistowski (Online MPH);
  • Prerequisites: Biostat 501, Biostat 591, Biostat 592
  • Description: This course provides an overview of statistical methods for analyzing correlated data produced by longitudinal measurements taken over time. Topics include study design, exploratory data analysis techniques and linear mixed effects regression models. This course provides practical concepts and hands-on R computing skills to perform longitudinal data analysis.
  • Learning Objectives: 1. Identify causes and patterns of correlated outcomes in health data 2. Perform exploratory data analysis of longitudinal outcomes 3. Fit linear mixed effects regression models 4. Interpret and perform hypothesis testing of regression parameters for mixed models
ZawistowskiMatt
Matt Zawistowski
Concentration Competencies that BIOSTAT595 Allows Assessment On
Department Program Degree Competency Specific course(s) that allow assessment
Population and Health Sciences MPH Compare population health indicators across subpopulations, time, and data sources PUBHLTH515, BIOSTAT592, EPID590, EPID592, EPID643, BIOSTAT595, BIOSTAT501