Although emphasis is placed on the application of epidemiologic and biostatistical methodology to public health policy and practice, students develop a solid foundation in the underlying theory. This course instructs students in theoretical and practical aspects of the principles of data analysis including hypothesis testing and estimation, study design, internal validity, credits screening programs, registries, and genetics. Extensive computerized data analysis is incorporated into the course instruction. Regression Methods A variety of topics related to modeling continuous, binary, and survival time outcomes in terms of multiple risk factors are explored. Topics covered include the analysis of variance and covariance, linear regression, multiple linear regression, nonlinear regression, logistic regression, non parametric regression, and regression for survival times, including proportional hazard models.
Emphasis is on the practical aspects of model construction, model checking, and model prediction.
Applications and computer methods are stressed. This course instructs students in theoretical and practical aspects of the principles of data analysis including hypothesis testing and estimation, study design, internal validity, credits screening programs, registries, and genetics. Extensive computerized data analysis is incorporated into the course instruction. This course is concerned with the application of epidemiological methods to the study of cardiovascular disease. The course emphasizes the preventive and therapeutic management of coronary heart disease, cerebrovascular disease, hypertension, and diabetes.