The method of multiple imputation provides an attractive approach to handling missing data in large studies. A variety of software is now available to produce multiply imputed (MI) datasets, and we have published a set of Stata commands a"MI tools" that facilitate the manipulation and analysis...

A major analytic challenge in epidemiological studies is the threat to validity and precision of conclusions raised by missing data. It is still commonly accepted practice to analyze data containing missing values by "complete-case" methods, where entire individuals are omitted from the analysis...

Do you find yourself regularly cutting and pasting your postestimation results, such as regression coefficients, into a spreadsheet? If so, you should consider trying to program wherever possible. Using Stata's matrix commands, this presentation will show you how to process postestimation...

Apart from collection of real pedigree data, it is also very important to have simulated pedigree data in genetic epidemiology research. The simulated data can be used to compare the efficiency of different statistical models and to investigate some phenomena that cannot be answered by the real...

Partially linear models are linear regression models where one component is allowed to vary nonparametrically. Generalized partially linear models generalize this case from linear regression to the quasi-likelihood setting of standard GLIMs, thus encompassing a larger class models including...

Not all firms contributed to Australia's impressive productivity growth in the 1990s. Some performed better than others, and entrants arrived even as incumbents exited. If firms make decisions on input demand and liquidation based on their productivity, the latter known to them but unobserved by...

Control recruitment in case-control studies is problematic if no register for the study base exists. If random telephone contact is used and study base members comprise a relatively small proportion of the population then control recruitment can be resource-intensive. In a matched case-control...

We deal with this problem in the context of survival analysis with missing data on covariates. More specifically, we examine the factors affecting the duration of breastfeeding in Western Australia. Duration was studied in 556 women delivering at two maternity hospitals in Perth, Australia. The...

Within the intensive care environment, large data-bases exist, recording patient, ICU, and hospital details. For the last 20 years, a number of competing algorithms have been developed to generate risk-adjusted outcomes for patients; the most well known is the APACHE II (acute physiology and...

Computational efficiency and flexibility in a statistical package may be enhanced by enabling the package to communicate directly with other programs. A model of particular interest at the moment is the component object model (COM). This model provides a uniform mechanism for programs running...