Systematic reviews and meta-analyses contribute to the objectivity and transparency of literature reviews and play an increasingly important role in evidence-based medicine and public health. In addition to the expertise needed for critical reading of papers using these methodologies,...

In this presentation, I consider the estimation of the employer-size wage effect. I use an estimator that extends the standard panel-data techniques to the case in which the return to permanent component of the error term is differently rewarded across firm sizes. This is a more general model...

Sequence analysis (SA) is a very different way of looking at categorical longitudinal data, such as life-course or labor-market histories (or any ordered categorical data, for that matter). Instead of focusing on transition rates (for example, via hazard rate, Markov, or panel models), SA takes...

In a series of papers, a method based on pseudovalues has been proposed for direct regression modeling of the survival function, the restricted mean, and the cumulative incidence function in competing risks with right-censored data. Once the pseudovalues have been computed, one can fit the...

Unobserved components can parameterize problems of endogeneity in many nonlinear models for cross-sectional and panel data. This talk provides some examples and uses gsem to estimate the parameters.

This presentation will illustrate several uses of the programs in the dirtools package. dirtools is a collection of programs designed to deal with native Stata files (that is, .dta, .do, .ado, .mata, or .gph) and some of the more frequently generated file formats (.eps, .pdf, and .tex). The...

Graphical display of regression results has become increasingly popular in presentations and the scientific literature because, in many cases, graphs are much easier to read than tables. In Stata, such plots can be produced by the marginsplot command. However, while marginsplot is very versatile...

Writing a document that contains statistical results in its narrative, including inline results, can take too much effort. Typically, users have a separate series of do-files whose results must then be pulled into the document. This is a very high-maintenance way to work in because updates to...

After reviewing the potential-outcome framework for estimating treatment effects from observational data, this talk discusses how to estimate the average treatment effect and the average treatment effect on the treated using the regression-adjustment estimator, the inverse-probability-weighted...

The simsam package, released earlier this year, allows versatile sample-size calculation (calculating sample size required to achieve given statistical power) using simulation for any method of analysis under any statistical model that can be programmed in Stata. Simulation is particularly...