Stata has a variety of flexible commands for graphing in two dimensions; however, it has few options for graphing in three dimensions. The user-written surface command by Adrian Mander, available from SSC, attempts to fill this gap, providing both 3D wire-frame plots and dropline plots. However,...

In 2013 the Mississippi State Legislature passed a law requiring the state to adopt a single combined statewide accountability system for schools and districts; additionally, the law also restricted the State from using some of the methods that were used in the accountability system of the time....

At last year’s Stata conference I presented projects that facilitate the combined use of Stata and Python. One project provides the ability to use Python within Stata via a C plugin. The other project provides a custom Python class that can be used to open, modify, and save Stata data...

Quantile regression techniques are useful in understanding the relationship between explanatory variables and the conditional distribution of the outcome variable, allowing the parameters of interest to vary based on a nonseparable disturbance term. Additional covariates may be necessary (or...

Profile analysis is a multivariate method for examining differences in the shapes of profiles across groups. Profile analysis uses of Stata's -manova- command along with -manovatest- for estimation. This presentation will also demonstrate the use of the user written program -profileplot- to...

A number of complex tasks frequently challenge the computational resources in the areas of simulation modeling and estimation. Often these tasks have a distinct number of separable iterations that can be performed in parallel simultaneously and independently from each other. Earlier approaches...

Researchers do not adequately appreciate that floating-point numbers are a simulation of real numbers and, as with all simulations, some features are preserved while others are not. When writing code, or even do-files, treating the computer's floating-point numbers as if they were real numbers...

In October 2012 HarvardX, through edX, offered its first two online courses. One of these was called PH207X: Health in Numbers. The course covered biostatistics and epidemiology at an introductory level and lasted 12 weeks. 60,000 students later we had exposed more students to those disciplines...

binscatter is a newly released program that produces binned scatterplots, which provide a non-parametric estimate of a conditional expectation function. This presentation will describe the features of binscatter, and explore its versatile applications. Those applications include: observing the...

Many estimation problems focus on classification of cases (into bins) with tools that aim to identify cases using only a small subset of all possible questions. These tools can be used in diagnoses of disease, identification of advanced or failing students using tests, or classification into...