CHS 789 - Biostatistical Theory

(3 units)

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.

Maximum units a student may earn: 3

Recommended Preparation: Calculus II; an introductory biostatistics course.

Grading Basis: Graded
Units of Lecture: 3
Offered: Every Fall

Student Learning Outcomes
Upon completion of this course, students will be able to:
1. apply probability theory to important public health and biomedical problems.
2. apply the properties of random sample to interval estimation and hypothesis testing.
3. apply maximal likelihood theory in public health and biomedical research.
4. demonstrate a comprehensive understanding of the basic concepts of modern statistical theory and their probabilistic foundation.

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