Fitting and Interpreting Cragg's Tobit Alternative using Stata

Fitting and Interpreting Occupancy Models

We show that occupancy models are more difficult to fit than is generally appreciated because the estimating equations often have multiple solutions, including boundary estimates which produce fitted probabilities of zero or one. The estimates are unstable when the data are sparse, making them difficult to interpret, and, even in ideal situations, highly variable. As a consequence, making accur...

Ordinal Regression Analysis: Fitting the Proportional Odds Model Using Stata, SAS and SPSS

Researchers have a variety of options when choosing statistical software packages that can perform ordinal logistic regression analyses. However, statistical software, such as Stata, SAS, and SPSS, may use different techniques to estimate the parameters. The purpose of this article is to (1) illustrate the use of Stata, SAS and SPSS to fit proportional odds models using educational data; and (2...

Meta-analysis in Stata using gllamm.

There are several user-written programs for performing meta-analysis in Stata (Stata Statistical Software: College Station, TX: Stata Corp LP). These include metan, metareg, mvmeta, and glst. However, there are several cases for which these programs do not suffice. For instance, there is no software for performing univariate meta-analysis with correlated estimates, for multilevel or hierarchica...

A Handbook of Statistical Analysis Using Stata

Bayesian Analysis in Stata using WinBUGS

WinBUGS is a program for Bayesian model fitting by Gibbs sampling. WinBUGS has very limited facilities for data handling while Stata has no routines for Bayesian analysis, and as a result there is a lot to be gained by running Stata and WinBUGS in combination. A set of ado files are presented that enable data to be processed in Stata, passed to WinBUGS for model fitting and the results read bac...