The presentation will discuss Stata’s evolution into a comprehensive survey data analysis package by looking at its past, present and possible future. Comparisons will be made with other survey data analysis software packages, such as SUDAAN, WesVar, SAS and SPSS, with respect to both survey...

Regular expressions make a number of data management operations involving string variables much easier. They do this by allowing the user to search for (and copy or replace) complex patterns of characters within a string. Examples of when regular expression are useful include extracting zip...

I will present a sweet syntax coloring using jEdit, a free, open-source, Java-based, cross-platform text editor. The syntax coloring (demo jpeg at http://www.datadata.info/ug07/) distinguishes commands, variables, macros, simple and compound quoted strings (and unquoted string literals), and...

A collection of user-written commands will be presented, which in one way or another facilitate dealing with metadata -- from manipulation and presentation of variable names and types, through labels, notes, and other metadata fields included with data files, and on to a command for accessing...

This presentation will give an overview of the three main approaches to analyzing repeated measures analysis of variance: 1) Multivariate models, 2) traditional anova models, and 3) linear mixed models along with discussion of the advantages and disadvantages of each. The presentation includes...

The ostensible reason for a preparation of regression tables is to have them submitted to journals for publication purposes. Contrary to this professed view, regression tables are mostly used during research and not after. Journals require regression tables because they allow visual comparisons...

This presentation provides an overview of the subset of methods for panel data and the associated Stata xt commands most commonly used by microeconometricians. First, attention is focused on a short panel, meaning data on many individual units and few time periods. Examples include longitudinal...

Survey data are often analyzed using multilevel or hierarchical models. For example, in education surveys, schools may be sampled at the first stage and students at the second stage and multilevel models used to model within-school and between-school variability. An important aspect of most...

In this talk, I look at several methods for estimating average effects of a program, treatment, or regime, under unconfoundedness. The setting is one with a binary program. The traditional example in economics is that of a labor market program where some individuals receive training and others...

One challenging feature of some medical research is the existence of multiple sources of exposure information about individual subjects. When an exposure of interest has been measured in a variety of ways, or has been reported on by multiple informants, analysts must decide how best to estimate...