In this presentation, the author presents an approach to improve the computational efficiency of Data Envelopment Analysis(DEA) with large data set in Stata. Since the author written "dea" program in Stata was presented in the DC09 Stata conference, the author reviewed various comments and...

This presentation updates Nichols and Schaffer's 2007 UKSUG talk on clustered standard errors. Although cluster-robust standard errors are now recognized as essential in a panel data context, official Stata only supports clusters that are nested within panels. This rules out the possibility of...

Circular statistics are needed when one or more variables have outcome space in the circle, which is for example true for data measured with reference to compass, clock, or calendar. Applications abound in the earth and environmental sciences, not to mention economic and medical fields well...

We introduce a Stata implementation of coarsened exact matching, a new method for improving the estimation of causal effects by reducing imbalance in covariates between treated and control groups. Coarsened exact matching is faster, is easier to use and understand, requires fewer assumptions, is...

Bivariate generalized mixed modeling is currently recommended for joint meta-analysis of diagnostic test sensitivity and specificity. Estimation is commonly performed using frequentist likelihood-based techniques assuming bivariate normally distributed, correlated logit transformations of...

Consistency of the maximum likelihood estimators for the parameters in the standard Tobit model rely heavily on the assumption of a normally distributed error term. The Box Cox transformation presents an obvious attempt to preserve normality when the data make this questionable. This paper sets...

Competing-risks survival regression provides a useful alternative to Cox regression in the presence of one or more competing risks. For example, say that you are studying the time from initial treatment for cancer to recurrence of cancer in relation to the type of treatment administered and...

This talk will introduce the main ideas of structural equation models (SEMs) with latent variables and Stata tools that can be used for such models. The two approaches most often used in the applied work are numeric integration of the latent variables and covariance structure modeling. The first...

Stata is a command driven program. It is a general purpose statistical software package which is used by people of different backgrounds and professional disciplines. Most STATA users, however, are non-physicians. Since it is used by people of all fields, most training programs offered are...

This presentation will show how to use of the new margins command, introduced in Stata 11, to explore interactions in regression and analysis of variance. The talk will cover three types of interactions: 1) categorical by categorical, 2) categorical by continuous, and 3) continuous by...