|
Biostatistics
3100A -
Biostatistical Methods for Epidemiology
|
Epidemiologists work with categorical data (e.g. healthy, sick, dead) and with time to event data (e.g. time to death). This course introduces analytic methods of such data, expanding on aspects of study design and analysis introduced in Epidemiology 2200A/B. It requires a prior introduction to analyses of continuous data.
Antirequisite(s):
Corequisite(s):
Extra Information:
back to top |
|
Biostatistics
3110B -
Multivariable Methods
|
This course covers frequently used multivariable regression models (linear for continuous outcomes and logistic for binary outcomes) in health research. By the end of the course students will (i) understand and critique applications of regression models appearing in the biomedical literature and (ii) carry out their own analyses.
Antirequisite(s):
Corequisite(s):
Pre-or Corequisite(s):
Extra Information:
back to top |
|
Biostatistics
4115B -
Survival Analysis and its Applications
|
An introduction to survival analysis and its applications in a variety of areas including: 1) genetic epidemiology; 2) clinical trials; and 3) cost-effectiveness analysis. This course will provide students with contemporary analysis skills applicable to jobs in the pharmaceutical industry, in government organizations and in other health technology assessment settings.
Antirequisite(s):
Corequisite(s):
Pre-or Corequisite(s):
Extra Information:
back to top |
|