Biostatistics 690A - Fundamntls/Prob&Stat Inference
Fall
2023
F1IP
Jing Qian
TU TH 11:30AM 12:45PM
UMass Amherst
85891
Lederle Grad Res Tower rm 1234
qian@schoolph.umass.edu
The goal of this 3-credit course is to introduce fundamentals of probability theory, statistical inference tools and their application to biostatistics. The course is intended for first-year graduate students in Biostatistics MS program. The topics in this course include basic concepts of probability, random variables, important probability distributions (e.g., normal, exponential, binomial and Poisson), marginal distribution, conditional distribution, joint distribution, expectation and variance, conditional expectation, law of large numbers, central limit theorem, sampling distributions, point estimation, maximum likelihood estimation, method of moments and estimating equations, interval estimation, hypothesis testing. Examples from biostatistical applications will be used whenever possible. Simple simulations with R software will be used to illustrate some concepts in probability and statistical inference.
Open to MS-BIOSTATS students.
Multiple required components--lab and/or discussion section. To register, submit requests for all components simultaneously.