Advisory Prerequisites: Introductory level courses in epidemiology and biostatistics.
Description: Course will cover regression methods for continuous, binary, and count data. The
majority of epidemiologic data involve either binary or count data, and binary data often
arise from underlying continuous data. Therefore, linear , logistic
,and Poisson regression analyses are important
analytic approaches that provide valuable insights into data collected.
Prerequisites: An introductory course in (bio)statistics that covers regression is required. Familiarity with a statistical software package is helpful, but example code will be provided in labs.
Advisory Prerequisites: The mathematical level is completely accessible with knowledge of high school algebra, one semester of calculus, and a one-year course in basic statistical methods.
Description: The primary objectives of this course are to provide participants with the
background required to understand commonly used survival analysis methods
and to apply such methods using standard statistical software. The course
material relies heavily on examples and intuitive explanations of concepts.
