search for: 180cm

...issue is more about communications than software. I have developed a model using lrm() and am using plot to display the model. All that is fairly easy. However, my coauthors are used to traditional methods, where baseline categories are rather broadly defined (e.g. males, age 25-40, height 170-180cm, BP 120-140, etc) and results are reported as odds-ratios, not as probabilities of outcomes. Therefore, and understandably, they are finding the graphs which arise from lrm->Predict->plot difficult to interpret. Specifically, in one graph, the adjusted to population is defined one way, an...