The Stata command xtreg estimates the random-effects linear regression model, for which the random effects are assumed to be normally distributed with zero mean and non-negative variance, s^2_{i,t}. Testing homogeneity across units is equivalent to testing the null hypothesis H_0: s^2_{i,t} = 0,...

Classification errors, selection bias, and uncontrolled confounding are likely to be present in most epidemiological studies, but the uncertainty introduced by this type of biases is seldom quantified. The authors present a simple yet easy-to-use method to adjust the relative risk of a disease...

This talk introduces the principles of propensity-score theory and reviews available programs to implement propensity-score methods in Stata, with particular focus on psmatch2 and teffects psmatch. An application on real data will be shown.

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Abstract not available.

Longitudinal data are commonly collected in experimental and observational studies, where both disease and risk factors are measured at different repeated times. The goal of this project is to compare analyses performed using Stata, SPlus and SAS under two different families of distributions:...

Stata is a software package that is currently widely used, and its utility is being recognized. This is leading to its increasing use worldwide in major departments of epidemiology and biostatistics, for both research and teaching purposes. The ability to use it at various levels of...