Overview
Description
An introduction to bio-statistical theory used in public health and biomedical research. The fundamental statistical concepts and methods such as distribution of random variable, central limit theorem, interval estimation, hypothesis testing, maximum likelihood estimation, generalized linear models, EM algorithm, mixed/hierarchical model and GEE will be covered.
Requirements
Recommended Preparation
- Calculus II
- an introductory biostatistics course
Original catalog text
Recommended Preparation
Calculus II; an introductory biostatistics course.
Units
Lecture3
Catalog Details
Offering
Offered: Every Fall
Terms
fall
Attributes
Standard
Learning Outcomes
- apply probability theory to important public health and biomedical problems.
- apply the properties of random sample to interval estimation and hypothesis testing.
- apply maximal likelihood theory in public health and biomedical research.
- demonstrate a comprehensive understanding of the basic concepts of modern statistical theory and their probabilistic foundation.