Regression models play a central role in epidemiology and clinical studies. In epidemiology the emphasis is typically either on determining whether a given risk factor affects the outcome of interest (adjusted for confounders), or on estimating a dose/response curve for a given factor, again...

The decomposition technique introduced by Blinder (1973) and Oaxaca (1973) is widely used to study outcome differences between groups. For example, the technique is commonly applied to the analysis of the gender wage gap. However, despite the procedure's frequent use, very little attention has...

The design decisions made by Stata in handling missing data in relational and logical expressions have, for the user, complex, pernicious, and poorly understood consequences. This presentation intends to substantiate that claim and to present two possible resolutions to the problem. As is well...

The parmest package creates output datasets (or results sets) with one observation for each of a set of estimated parameters, and data on the parameter estimates, standard errors, degrees of freedom, t or z statistics, p-values, confidence limits, and other parameter attributes specified by the...

The display of data or of results often entails the preparation of a variety of table-like graphs showing both text labels and numeric values. I will present basic techniques, tips, and tricks using both official Stata and various user-written commands. The main message is that whenever graph...

In recent years, more Stata programs have become available for nonparametric regression. The commands mrunning and mlowess make it possible to perform nonparametric regression over several dimensions. These techniques, however, impose the separable additivity of the effect of different...

Considerable headway has been made over the last 20 or 30 years into the isolation of points of failure in human energy metabolism using metabolic models of challenge data. These models are almost always differential in form, second-order (or higher), nonlinear, and involve both estimated and...

In the past decade, many statistical methods have been proposed for the analysis of case–control genetic data with an emphasis on haplotype-based disease association studies. Most of the methodology has concentrated on the estimation of genetic (haplotype) main effects. Most methods...

We discuss empirical applications of imputation methods for missing data. Our results are based on Chilean household surveys using three methods of proper imputation.