Epidemiologic approach to clinical trials: observational studies, cross-sectional studies,
designing a case control study, bias in a case-control study, matching issues, cohort studies,
design of a cohort study, biases in a cohort study, comparing case and cohort studies,
randomized trials, selection of subjects, crossover trials, issues on sample size, recruitment.
Case studies to explore above topics.
Spatial Epidemiology: Geographical Representation and Mapping, Spatial Interpolation and
Smoothing Methods, Estimation and Inference, Spatial Proximity Indices, Disease Clustering,
Spatial Regression, Infectious disease modelling.
Survival Analysis in Epidemiology: Functions of survival time, censoring mechanisms,
nonparametric estimators of survival function, Cox’s proportional hazards model, Cases studies
using survival analysis methods in health research.
References
Lawson, A. Statistical Methods in Spatial Epidemiology, 2nd Edition, Wiley, New York, 2006.
Gordis, L. Epidemiology, 5th Edition, Elsevier Saunders, Philadelphia, 2014.
Kalbfleisch, J. and Prentice, R. The Statistical Analysis of Failure Time Data, 2nd Edition,
Wiley, New York, 2002.
Lee, E. and Wang, J. Statistical methods for survival data analysis, 3rd Edition, John Wiley &
Sons., Hoboken, 2003.
Pre-requisite
:
N/A
Total credits
:
6 credits - Lecture
Maximum Strength
:
30
Type
:
Core Course
Duration
:
Autumn 2022
Name(s) of other Academic units to whom the course may be relevant