This paper gives algorithms for determining L∞ weighted isotonic regressions satisfying order constraints given by a DAG with n vertices and m edges. Throughout, topological sorting plays an important role. A modification to an algorithm of Kaufman and Tamir gives an algorithm taking Θ(m log n) time for the general case, improving upon theirs when the graph is sparse. When the regression values...

It is standardpractice to use log-linear and log-log regression models in the analysis of workers compensation claim costs. While useful for the investigation of-proportional cost relationships, those transformed models are not well suited for predicting individual or even average claim costs. There is, however, enormous potential for using regression equations as a computational device for gen...

We applaud Drs. Spiegelman and Hertzmark’s idea of using SAS procedure PROC GENMOD to estimate the risk ratio or difference (1). However, we have reservations about 1) the claim that there is no good justification for fitting the logistic regression and estimating the odds ratio when the odds ratio is not a good approximation of the risk ratio, and 2) using Poisson regression (PROC GENMOD) to e...