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AHS 494 SM - Special Topics - STAT models in Health Sciences

Campus: Urbana-Champaign


Lecture courses in topics of current interest; specific subject matter will be announced in the Class Schedule. Course Information: 1 to 4 undergraduate hours. 1 to 4 graduate hours. Approved for Letter and S/U grading. May be repeated up to 12 hours if topics vary. Prerequisite: See Class Schedule for section requirements.

Special Instructions:

Full Section Title: Statistical Models and Procedures for the Health Sciences Students will study statistical approaches commonly used for data analyses in the health sciences. Topics will likely include the following: theories and assumptions behind parametric and nonparametric statistics, principles of probability modeling, selecting statistics based on research questions, sampling theory and techniques, moderate coverage of t-test, ANOVA, MANOVA, multiple correlation, multiple regression and hierarchical models, limited exposure to structural equation modeling, path analysis, and application of statistical packages (e.g., SPSS, Stata, R) to analyze data and interpret results.

Option 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 4

Term(s): Spring


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