This course introduces the methods for analyzing biomedical and health-related data using ANOVA methods. The course will involve one-way and two-way ANOVA with fixed and/or random effects and sample size/power calculation. And Logistic and Poisson regression models will also be addressed. The students will learn how to apply SAS procedures PROC POWER, PROC GLM, PROC MIXED, PROC GENMOD, PROC LOGISTIC and PROC GLIMMIX and interpret the results of the analysis. Emphasis will also be placed on the development of critical thinking skills.
Class Meets: Tuesday, 6 - 9 p.m.
Format: First week asynchronous online, second week synchronous online, etc. Will coordinate meetings with HPEM 6310 and HPEM 6320.
The course offers an in-depth practical and conceptual approach to fundamental statistics. The course consists of learning a variety of procedures commonly used for testing hypotheses, learning to examine and analyze the data accordingly, and learning to communicate the research results to others. By the end of the course the student will be able to create a database, properly code and screen data and present results (SPSS or another statistical software package); determine and describe the strength of association and direction of relationships between two or more variables by identifying and computing appropriate statistical tests, such as chi-square statistics, correlation coefficients, and linear regression models and by writing up results; examine and present significant mean differences between and within groups by identifying and computing appropriate statistical tests, such as t-tests and analysis of variance models (ANOVA) and by writing up results.
Credit Hours: 3 Class meets: Mon 6 p.m. - 9 p.m. Semester: Spring 2021
Format: First week synchronous online, second asynchronous online, etc. Will coordinate meetings with OEHS 5340 and HPEM 6392