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BIOSTAT 702 - Applied Biostatistical Methods I

Description
This course provides an introduction to study design, descriptive statistics, and analysis of statistical models with one or two predictor variables. Topics include principles of study design, basic study designs, descriptive statistics, sampling, contingency tables, one- and two-way analysis of variance, simple linear regression, and analysis of covariance. Both parametric and non-parametric techniques are explored. Core concepts are mastered through team-based case studies and analysis of authentic research problems encountered by program faculty and demonstrated in practicum experiences in concert with BIOSTAT 703. Computational exercises will use the R and SAS packages. Prerequisite: 2 semesters of calculus or its equivalent (multivariate calculus preferred). Familiarity with linear algebras is helpful. Corequisites: BIOSTAT 701, BIOSTAT 703, BIOSTAT 721 Credit: 3
Credits
3
Recent Professors
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Recent Semesters
Fall 2020, Fall 2019, Fall 2018, Fall 2017
Offered
MW
Avg. Class Size
30
Avg. Sections
1