In haplotype-association studies, the risk of a disease is often determined not only by the presence of certain haplotypes but also by their interactions with various environmental factors. The detection of such interactions with case-control data is a challenging task and often requires very...

Forecasters are expected to provide evaluations of their forecasts along with their forecasts. The forecast assessments demonstrate comparative, adequate, or optimal accuracy by common forecasting criteria to provide acceptable credence in the forecasts. To assist the Stata user in this process,...

In this presentation, I discuss a variety of ways in which you can interpret the results obtained from nonlinear models (e.g., logit, probit, poisson, and streg) and how these different ways of interpreting results are related. I pay particular attention to 1) the difference between average...

Discrete choice demand models are popular in applied analysis and can be estimated using market-level data on product shares and characteristics. The random parameters logit model is an extension to the traditional specification and can accommodate heterogeneity in consumer preferences and rich...

I report briefly—and without giving away any Stata (or state) secrets—on my experiences as an intern at StataCorp earlier in 2012.

How to plot (and summarize) univariate distributions is a staple of introductory data analysis. Graphical (and numerical) assessment of marginal and conditional distributions remains important for much statistical modeling. Research problems can easily evoke needs for many comparisons, across...

Stratification is a sampling design that can improve efficiency. It works by first partitioning the population into homogeneous subgroups and then performing simple random sampling within each group. For a continuous variable, stratification involves determining strata boundaries. Holding the...

Dong and Lewbel have developed the theory of simple estimators for binary choice models with endogenous or mismeasured regressors, depending on a `special regressor' as defined by Lewbel (J. Econometrics, 2000). `Control function' methods such as Stata's ivprobit are generally only valid when...

This talk exemplifies the application of the multiple imputation technique available in STATA to analize a design of experiments with multiple responses and missing data. No imputation and multiple imputation methodologies are compared.

This presentation introduces a set of Stata programs designed to match individuals from year-to-year in the Current Population Survey (CPS) using a distance based measure of similarity . Unlike panel data, the CPS is a repeated cross section of geographic residences, which are continually...