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...

The last three years have seen explosive growth in the variety and sophistication of interactive online graphics. These are mostly implemented in the web language JavaScript, with the D3 (Data Driven Documents) library being the most popular and flexible at present. Leaflet is a mapping library...

The Cox proportional hazards model is one of the most popular methods for analyzing survival or failure-time data. The key assumption underlying the Cox model is that of proportional hazards. This assumption may often be violated in practice. Transformation survival models extend the Cox...

In response to the 1997 Food and Drug Administration Modernization Act (FDAMA), the National Institutes of Health (NIH) established ClinicalTrials.gov, an online, publicly-accessible registry for clinical trials. The 2007 Food and Drug Administration Amendments Act (FDAAA) broadened the scope of...

Operating room (OR) inefficiency is costly and stressful for patients and staff. To evaluate possible improvements, we simulated our OR and Recovery Room (RR) processes with Stata. We used hospital data (in long format) and parametric time-to-event regression (streg) to derive log-logistic...

Various measures of mobility using panel data are reviewed, with applications to measuring economic or social mobility in survey data. A variety of approaches are demonstrated.

After reviewing the potential-outcome framework for estimating treatment effects from observational data, I will discuss how to estimate the average treatment effect and the average treatment effect on the treated by the regression-adjustment estimator, the inverse-probability-weighted...

The optimal interval design is a novel phase I trial design for finding the maximum tolerated dose (MTD). The optimal interval design casts dose finding as a sequential decision making problem for assigning an appropriate dose for each enrolled patient. The design optimizes the assignment of...

The talk describes recent updates for midas, a comprehensive and medically popular program for diagnostic test accuracy meta-analysis. A major change is that midas is now an estimation command and a wrapper for meglm of Stata 13 . The update allows more flexibility for specifying covariance...