Coursework in Biostatistics and Epidemiology

Coursework in Biostatistics and Epidemiology

Developing the clinical and translational science research skills of faculty members and fellows is a priority of the NIH.   The following courses are often utilized in training plans developed for learners accessing the UAB campus. Please consult the UAB School of Public Health website for more information.
 
BST 621 - Statistical Methods I. - Mathematically rigorous coverage of applications of statistical techniques designed for biostatistics majors and others with sufficient mathematical background. Statistical models and applications of probability; commonly used sampling distributions; parametric and nonparametric one and two sample tests and confidence intervals; analysis of contingency tables; simple linear regression and analysis of variance. Prerequisites: A year of calculus and linear algebra.
 
BST 622 - Statistical Methods II. - Continuation of concepts in BST 621, extended to multiple linear regression; analysis of variance, analysis of covariance, multiple analysis of variance; use of contrasts and multiple comparisons procedures; simple and multiple logistic regression, and an introduction to survival analysis.
 
BST 625 -  Design and Conduct of Clinical Trials. - Concepts of clinical trials; purpose, design, implementation and evaluation.  Examples and controversies presented. 
 
EPI 607 - Fundamentals of Clinical Research. - This course will provide an overview of principles and practices related to the study of determinants and outcomes of medical interventions. Methods for conducting epidemiologic research in the "clinic", assessing the validity of diagnostic and screening tests, measuring therapeutic efficacy and safety, and describing the natural history of disease will be reviewed.