Semiparametric regression deals with the introduction of some very general nonlinear functional forms in regression analyses. This class of regression models is generally used to fit a parametric model in which the functional form of a subset of the explanatory variables is not known and/or in...

Multilevel mixed-effects survival models are used in the analysis of clustered survival data, such as repeated events, multicenter clinical trials, or individual patient data meta-analyses, to investigate heterogeneity in baseline risk and treatment effects. I present the stmixed command for the...

Residual confounding is a major problem in analysis of observational data, occurring when a confounding variable is measured coarsely (censored, heaped, missing, etc.) and hence cannot be fully adjusted to obtain a causal estimate by usual means such as multiple regression. The analysis of...

Competing risks occur in survival analysis when a subject is at risk of more than one type of event. A classic example is when there is consideration of different causes of death. Interest may lie in the cause-specific hazard rates, which can be estimated using standard survival techniques by...

Many, perhaps most, useful graphs compare two or more sets of values. Examples are two or more groups or variables (as distributions, time series, etc.) or observed and fitted values for one or more model fits. Often there can be a fine line in such comparisons between richly detailed graphics...

In recent years, much interest has focused on network analysis. This study presents and applies to real data a new user-written Stata command called datanet, which facilitates the dataset organization for the purpose of network analysis. Given a fixed number of units (or nodes) belonging to the...

The margins command in Stata allows us to get a wide array of results using coefficient estimates. I will illustrate the use of margins in some commonly used models. I will then illustrate a new result. I will show how we can use margins after fixed-effects panel-data estimation that...

The purpose of this presentation is to present a step-by-step tutorial on how to draw thematic maps of Italy using the Stata user-written command spmap and spatially referenced data freely available on the Internet.

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.

The classical stochastic frontier panel-data models provide no mechanism to disentangle individual time-invariant unobserved heterogeneity from inefficiency. Greene (2005a,b) proposed the so-called true fixed-effects specification that distinguishes these two latent components and allows for...