STAT 437
Applications in Biostatistics
Statistics
College of Physical and Mathematical Sciences
Course Description
Module-based survey of biostatistics methods: observational studies, clinical trials, measures of association, Kaplan-Meier, proportional hazards models, logistic regression, ethical concerns in research with human subjects.
When Taught
Winter Even Years
Grade Rule
Grade Rule 8: A, B, C, D, E, I (Standard grade rule)
Min
3
Fixed
3
Fixed
3
Fixed
0
Title
study designs
Learning Outcome
demonstrate understanding of common study designs used in clinical and epidemiological research (cohort studies, case-control studies, cross-sectional studies, clinical trials);
Title
ethics
Learning Outcome
articulate potential ethical concerns for each type of design;
Title
measures of association
Learning Outcome
identify and compute appropriate measures of association for each type of design;
Title
censored data
Learning Outcome
describe types of censoring and the challenges presented in the analysis of censored data;
Title
Kaplan-Meier
Learning Outcome
estimate the survival function using the Kaplan-Meier method;
Title
proportional hazards
Learning Outcome
fit proportional hazards regression models;
Title
diagnostic tests
Learning Outcome
determine sensitivity, specificity, and positive and negative predictive values for diagnostic tests;
Title
logistic regression
Learning Outcome
apply logistic regression and conditional regression models to cohort and case-control studies;
Title
odds ratios
Learning Outcome
interpret odds ratios from logistic regression models;
Title
causal inference
Learning Outcome
understand the fundamentals of propensity score matching;
Title
communication
Learning Outcome
communicate and present results to answer research problems;
Title
project
Learning Outcome
present authentic data analysis with integrated paper and presentation.
