Biostatistics and Epidemiology
MODULE CODE
CREDIT VALUE
Module Aims
Aim 1
This module aims to introduce students to statistical methods for analyzing survival data derived from laboratory studies, clinical and epidemiologic studies of humans, and other appropriate applications.
Module Content
Epidemiology
Basic Definitions, Observational Studies (Cohort study vs case-control study), Clinical trials, Prevalence vs Incidence, Rate of Mortality, Kappa statistics, Sensitivity and Specificity, ROC curves and the area under a ROC curve.
Measures of Association: Relative Risk vs Odds Ratio.
Chi-square, Fisher’s exact, and McNemar’s test.
Survival Analysis
Censored, Truncated Data, Survival Function, Risk Function, Parametric Survival Distributions, Kaplan-Meier Estimator, Comparison of Survival Curves: Mantel-Haenszel logrank test, Tests for k survival Curves.
Modeling Survival Data: Cox Proportional Hazards model
Learning Outcomes
On successful completion of this module, a student will be able to:
Teaching Methods
The class contact will consist of teaching classes together with workshops. Teaching classes will introduce new material and provide examples. Tutorials have no new material introduced. Students will attempt problems during the tutorials. Key elements of the learning strategy are regular sessions during which problems are attempted. Throughout the week students will be given a list of problems to attempt.
Due to the theoretical nature of the material in this ten-credit module, the assessment will be by examination.
Assessment Methods
The module is assessed through a Written Exam.
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Compulsory
Optional
