title: Statistical methods for the analysis and presentation of the results of bone marrow transplants. Part 2: Regression modeling.
abstract: In this paper, we address methods of multivariate regression. We discuss the value of regression compared to matched pairs analysis, methods of coding variables, basic concepts of the Cox model and interpretation of results of the Cox model. We present methods of handling variables whose effect changes with time. We present methods to check the assumptions of the Cox regression. Finally, and perhaps most importantly, we provide suggestions for presenting the results in clear and thorough tables and graphs.
authors.affiliation: Division of Biostatistics, Medical College of Wisconsin, Milwaukee, WI, USA.
authors.forename: J P
authors.initials: JP
authors.lastname: Klein
authors.forename: J D
authors.initials: JD
authors.lastname: Rizzo
authors.forename: M J
authors.initials: MJ
authors.lastname: Zhang
authors.forename: N
authors.initials: N
authors.lastname: Keiding
mesh_terms: D016026:Bone Marrow Transplantation / Q000379:methods / Q000706:statistics & numerical data*; D006801:Humans; D016555:Matched-Pair Analysis; D015999:Multivariate Analysis; D016016:Proportional Hazards Models; D012044:Regression Analysis; D012307:Risk Factors; D016896:Treatment Outcome