Spring 2025 Biostatistics P8139 section 001

Statistical Genetic Modeling

STATISTICAL GENETIC MODEL

Call Number 15976
Day & Time
Location
T 1:00pm-3:50pm
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructor Shuang Wang
Type LECTURE
Method of Instruction In-Person
Course Description This course explores the theoretical foundations underlying the models and techniques used in mathematical genetics and genetic epidemiology. Topics include use and interpretation of likelihood methods, formulation of mathematical models, segregation analysis, ascertainment bias, linkage analysis, genetic heterogeneity, and complex genetic models. The course includes lectures, discussions, homework problems, and a final exam. My single most important objective for this course is for students to be able to break down any mathematical modeling problem logically into all its component parts, to express each part" accurately, and to know how to "add" all the pieces back up and to check the accuracy of their result."
Web Site Vergil
Department Biostatistics
Enrollment 15 students (15 max) as of 7:06PM Thursday, January 2, 2025
Status Full
Subject Biostatistics
Number P8139
Section 001
Division School of Public Health
Open To GSAS, Public Health
Section key 20251BIST8139P001