Epidemiology, Mathematical Foundations for Biostatistics, Principles of Statistical Inference, Regression Modelling for Biostatistics 1
8-12 hours total study time per week
Semester 1 & 2
Three assignments, worth 30%, 30% and 40%.
Vittinghoff E, Glidden D, Shiboski S, McCulloch C. Regression Methods in Biostatistics: Linear, logistic, survival and repeated measures models. 2nd Edition. Springer Verlag 2012
R or Stata statistical software
This unit presents the theory and application of generalised linear models (GLMs) and survival analysis. The unit covers the implementation of GLMs to analyse count data using Poisson and negative binomial regression; how logistic regression models can be applied to binary, multinomial, and ordinal data; and the use of GLMs with continuous data. The unit presents methods to analyse time to event survival data including the Kaplan Meier curve and the Cox proportional hazards model.
Course notes, online mini-lecture videos, online tutorials, discussion board