Epidemiologists have relied on Stata for over 30 years because of its specialized epidemiologic commands, accuracy, and ease of use. Whether you are researching infectious diseases, investigating exposure to pathogens, or studying chronic diseases, Stata provides the data management and statistical tools to support your research.
Epidemiology: concepts and terminology
Population and Samples
Measuring disease: Incidence and prevalence
Study Design
Intervention studies
Cohort studies
Case control studies
Observational studies
Measuring the risk factor
Exercises
Review of Stata software
Basic concepts about data type and analysis
Introduction to basic Statistical models used in epidemiology
Chi-square,
t-test,
Mann-Whitney
ANOVA, ANCOVA,
simple and multiple linear regressions,
logistic regression.
Exercises
Sample size calculation,
Sampling weight
Statistical power
Constructing valid comparison groups
Exercises
2 × 2 and 2 × 2 stratified table for longitudinal, cohort study, case–control, and matched case–control data
Odds ratio, incidence ratio, risk ratio, risk difference, and attributable fraction
Chi-squared, Fishers’s exact, and Mantel–Haenszel tests
Analysis of duration outcomes
Estimating the probability of survival
Modeling survival as a function of covariates using Cox, Weibull, lognormal, and other regression models.
Predict hazard ratios
Exercises
Standard cohort analysis
Sample weighting
Adjustment of variance
Parametric models: Poisson regression, Flexible Parametric Survival Models (FPM)
Exercises
Basic design concepts
Selection of Cases
Selection of Control
Matching
Odds ratio for case control
Case cohort studies
Exercises
It gives you the ability to make publication-quality graphics so you can clearly display your findings.
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