Statistical Methods in Epidemiology
BS852: Statistical methods for interpreting statistical analysis and addressing confounding or interaction in observational studies
Analysis of 2x2 Tables
Review of Measures of Association Exposed Unexposed Disease a b m1 No Di...
Stratification and Interaction
Which Summary Measure to Use? Weighted averages are usually best Mantel-Haenszel is easy to c...
Standardization
The objective of standardization is the compare the rates of a disease (or outcome) between popul...
Matching
The aim of matching is remove confounding by matching subjects to be similar on a potential confo...
Logistic Regression
Stratified analysis can be used to adjust for confounding, but the results can be difficult to ad...
Logistic Regression in Matched Studies
In case-control studies matching cases and controls on a potential confounder improves the effici...
Survival Analysis I
Survival analysis is a measure of time until an event occurs. It doesn't only measure death as an...
Survival Analysis II
In survival data the dependent variable is always survival time (or time until an event with the ...
Model Fit & Concepts of Interaction
Review: Logistic and Proportional Hazards Regression Model Selection You can look at changes in ...
Poisson Regression
We use the Poisson Regression to model a risk ratio when we are interested not in whether somethi...
Statistical Modeling
Statistical association analysis is not all about significance. There is much to consider when de...
Missing Data
Missing data is common in epidemiology studies, and always observed in longitudinal studies. Inad...