Stata's graphics were completely rewritten for Stata 8, with further key additions in later versions. Its official commands have, as usual, been supplemented by a variety of user-written programs. The resulting variety presents even experienced users with a system that undeniably is large, often...

In this talk, I introduce new methods in Stata 12 for filtering and decomposing time series and I show how to implement them. I provide an underlying framework for understanding and comparing the different methods. I also present a framework for interpreting the parameters.

A review of issues and controversy surrounding F-ratio denominator degrees of freedom (DDF) in linear mixed models. The presentation will look at the history of denominator degrees of freedom as well survey their use in various statistical packages.

Modern genetic genome-wide association studies (GWAS) typically rely on single nucleotide polymorphism (SNP) chip technology to determine hundreds of thousands of genotypes for an individual sample. Once these genotypes are ascertained, each SNP alone or combination is tested for association...

Residency training is an important period when a physician learns and acquires the necessary skills for searching, evaluating and applying medical knowledge. The journal club is an academic event and an important forum for this purpose. The objective of the journal club is to learn and develop a...

Mata is Stata's matrix programming language. StataCorp provides detailed documentation on it, but so far has failed to give users-and especially users who add new features to Stata-any guidance in when and how to use the language. This talk provides what has been missing. In practical ways, this...

Visualizing interactions and response surfaces can be difficult. In this talk, I will show how to do the former by graphing adjusted means and the latter by showing how to roll together contour plots. I will demonstrate this for both linear and nonlinear models.

Objectives: In population-based cancer studies a cure fraction model classifies patients into those who survive the cancer and those who encounter excess mortality risk compared to the general population [1]. In this presentation we report the proportion cured and the relative survival pattern...

It is increasingly common for social scientists to be involved in primary data collection, whether through the administration of unique survey instruments or the execution of field experiments. Novel datasets present novel challenges for researchers, who may find themselves responsible for...

A new command has been developed implementing a previously validated tool for describing bronchiolitis severity. Bronchiolitis is one of the most common causes of hospital admission for infants and it is widely studied. This command classifies predicted severity of illness using an ordinal...