Biostatistics is the development and application of statistical reasoning and methods in addressing, analyzing and solving problems in public health, health care and biomedical, clinical and population-based research.

POP HLTH 451 Introduction to SAS Programming for Population Health 

  • Credits: 1 
  • Offered: Fall 

The course provides graduate students in the Population Health Sciences programs with a basic understanding of the use of the SAS programming language for the management and analysis of biomedical data. The following topics are covered: importing data into SAS, creating and redefining variables, printing and summarizing data, exporting data from SAS, use of the Output Delivery System (ODS), basic graphics and statistical analyses and the SAS macro facility. Note: All MPH students must obtain instructor's consent to enroll in this course.

POP HLTH 551 Introduction to Biostatistics for Population Health 

  • Credits: 3 
  • Offered: Fall 
  • Cross listed with B M I 
  • Prerquisites: College algebra; enrollment in Population Health MS or PhD program or cons inst. 

Course designed for population health researchers. Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work. Note: This course can be substituted for MPH required course, BMI 511, in rare instances. Students interested in pursuing a research-focused MPH should consider taking this course. Students enrolled in this course must be concurrently enrolled in POP HLTH 451.

POP HLTH 552 Regression Methods for Population Health 

  • Credits: 3 
  • Offered: Spring 
  • Cross listed with B M I 
  • Prerequisites: POP HLTH/BMI 451 and POP HLTH/BMI 551; or cons inst. 

This course serves as an introduction to the primary statistical tools used in epidemiology and health services research; multiple linear regression, logistic regression, and survival analysis. Note: This course serves as a Methods Course for the MPH program.