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.
- Professor: Gabriela Orsak
This course emphasizes data management and software applications using the SAS (Statistical Analysis System) software package. It will introduce the student to SAS codes for: inputting and outputting data, creating temporary and permanent data sets, creating formatted and labeled SAS data sets, merging and connecting SAS data sets, creating output using the TABULATE and REPORT procedures, debugging a SAS program that includes the TABULATE, REPORT and SQL procedures, using characteristic functions in SAS, using a random number generator, probability distributions, arrays, and date and time functions. Students will also write a simple and complex query using the SQL procedure; create, populate and modify a set of tables/views using the SQL procedure; and create a SAS program which includes one or more macros. This course will cover basic relational database design and descriptive statistics in SAS. Particular focus is on applications pertaining to public health and biomedical research.
- Professor: Harrison Ndetan
Epidemiology is the study of the distribution and determinants of health in populations and the application of this study to improve health outcomes. It is the basic science of public health. Epidemiology I is an introductory level. By the end of this course, the student will be able to define the content, uses and significance of epidemiology as a means of public health investigation; describe epidemiological approaches to defining and measuring health problems in defined populations; describe the strengths and limitations of epidemiological study designs; explain the contributions of epidemiological approaches to disease prevention, health promotion and health policy; and describe the role of epidemiological approaches in evaluating the effectiveness and efficiency of health care and preventive health services.
Credit hours: 3 Class meets: Mon 2:00 p.m. - 5:00 p.m. Semester: Fall
- Professor: Baqiyyah Conway