In this talk, I am demonstrating how a multiple imputation procedure can be built by a user from scratch. The motivating example comes from a public opinion survey in which the sampled respondents were providing their responses on the web or by phone. As is known in survey methodology...

Abstract: Statisticians use Monte Carlo methods routinely to simulate random data and run new estimation procedures on those. How about simulating data for students to use in their homework? Each student gets a unique copy of a data set, which serves at least two purposes. First, each student...

This talk will introduce the main ideas of structural equation models (SEMs) with latent variables and Stata tools that can be used for such models. The two approaches most often used in the applied work are numeric integration of the latent variables and covariance structure modeling. The first...

In this presentation, I will review the bootstrap for complex surveys with designs featuring stratification, clustering, and unequal probability weights. I will present the Stata module bsweights, which creates the bootstrap weights for designs specified through and supported by svy. I will also...

This presentation will review quasi-Monte Carlo methods (Halton sequences) and their applications in resampling inference. The two major applications are the bootstrap procedures where QMC methods allow to achieve stability close to that of the balanced bootstrap, and the complex survey variance...

This talk will present the program for univariate normal mixture maximum likelihood estimation developed by the author. It will demonstrate the use of -ml lf- estimation method, as well as a number of programming tricks, including global macros manipulation and dynamic definition of the program...