Regression methods in biostatistics: linear, logistics, survival and repeated measures mode by Eric Vittinghoff, Stephen Shiboski, David Glidden and Charles McCulloch. 1st edition Published by Springer 2005. Hardback with printed board covers. In very good condition.
Here is a unified, readable introduction to multi-predictor regression methods in biostatistics, including linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, and generalized linear models for counts and other outcomes. The authors describe shared elements in methods for selecting, estimating, checking, and interpreting each model, and show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way.