PHPH 9810 - Biostatistical Methods I

3 Hours
This course covers the foundations of statistical inference (e.g., population parameter, estimate, and sampling distribution) as well as schemas of statistical inference (e.g., hypothesis testing, confidence intervals, and statistical power). Common public health measures and tests of bivariate and multivariate associations are introduced within the general linear model framework, which incorporates a number of different statistical models including multiple linear regression and ANOVA. Equal emphasis is placed on conceptual understanding as well as practical application and interpretation in real data settings.

Prerequisite(s): graduate level introductory statistics.
Corequisite(s): None.
Pre/Corequisite(s): None.
Requirements: None.