This contribution is based on my programs bspline and frencurv, which are used to generate bases for Schoenberg B-splines and splines parameterized by their values at reference points on the X-axis (presented in STB-57 as insert sg151). The program frencurv ("French curve") makes it possible for...

xtgraph produces summary graphs of xt data, by time and by group. It is very flexible, allowing means based on any power or 3-parameter log transformation, and error bars for SE, CI, SD and Reference Range, as well as medians with IQR. Normally, points are estimated separately for each level of...

The Stata program triplot produces a triangular plot of three variables with constant sum. Most commonly, three fractions or proportions add to 1, or three percents add to 100. The constant sum constraint means that there are just two independent pieces of information. Hence, it is possible to...

Graded data are those possessing an inherent order but falling short of a metric scale. Examples are opinions on a five-point scale, such as strongly disagree, disagree, neutral, agree, strongly agree. Graded data are, like ranked data, one kind of ordinal data. They are common in many fields,...

At the UK Stata User's Group meeting in 2000, we presented a series of linked commands which made it possible to declare exposure, stratifying and confounding variables, and to combine this information with Stata estimation commands such as regress, logistic, poisson, stcox, xtpois, etc., to...

These minutes summarize StataCorp president Bill Gould's remarks in a Report to Users, and a "Wishes and Grumbles" session in which users made suggestions to Messrs Gould and Gutierrez.

This presentation discusses how the tasks involved with carrying out a sizable research project, involving panel data at both monthly and daily frequencies, could be efficiently managed by making use of built-in and user-contributed features of Stata. The project entails the construction of a...

Nonparametric estimates of hazard rates can be computed as functions of time (e.g., age or calendar time). Given random variations in survival times, estimates of the hazard typically must be smoothed to distinguish trends from noise. Left truncation (at a known age or time) and right censoring...

A Stata routine for estimating the cumulative incidence rate (CIR) and its standard error in the presence of competing risks will be demonstrated. The program mtable will have the same features as ltable command in Stata. In addition to the CIR estimates, the program will have an option to...