COURSE DESCRIPTION: This course aims to introduce advanced concepts and topics in epidemiology and biostatistics with the primary goal of expanding knowledge and understanding of evolving methods in these fields. Topics will include discussion about causation and causal inference, efficient study designs (e.g. nested case-controls, case-cohort) in biomarker/molecular epidemiological studies; biomarkers of exposure and disease in epidemiological studies, different types of confounding and biases and methods to address them, as well as screening and diagnostic tests.
The biostatistical component of this course will focus on the design and analysis of longitudinal studies. We will discuss the concepts of analyzing longitudinal and clustered data: using Generalized linear mixed models, Marginal models. Data analysis, variable construction, and model fitting will be performed on several training/example data sets using SAS/STATA/R. At the end of the course students will have a better understanding of epidemiologic and biostatistics methods and their application in different clinical and epidemiological studies.
REQUIRED MATERIALS: N/A
STUDENT PREPARATION: N/A
SUITABLE FOR 1ST YEAR STUDENTS: N/A
UNIQUE TRAINING OFFERED IN THIS COURSE: N/A
STUDENT ASSESSMENTS: Midterm Exam (Epidemiology Component) - 35% of final grade; Final Exam (Biostatistics Component) - 15% of final grade; Written Critiques / Homework / Quiz - 50% of final grade
CREDIT HOURS: 3.0