After a logistic regression model has been fitted, a global test of goodness of fit of the resulting model should be performed. A test that is commonly used to assess model fit is the Hosmer-Lemeshow test, which is available in Stata and most other statistical software programs. However, it is...

The new book by Vittinghoff et al. (2005) is reviewed.

Testing goodness of fit is an important step in evaluating a statistical model. For binary logistic regression models, the Hosmer–Lemeshow goodnessof- fit test is often used. For multinomial logistic regression models, however, few tests are available. We present the mlogitgof command, which...

In this paper, we describe a new Stata command, stlh, which estimates and tests for the significance of the time-varying regression coefficients in Aalen's linear hazards model; see Aalen (1989). We see two potential uses for this command. One may use it as an alternative to a proportional...

The new book by Cleves et al. (2002) is reviewed. Copyright 2002 by Stata Corporation.

The log-binomial model (the generalized linear model with binomial errors and log link) makes it possible to directly estimate the relative risk from cohort follow-up data, or the prevalence ratio from cross-sectional data, with adjustment for confounders. One of the problems with the use of...