Statistical methods for the analysis and presentation of the results of bone marrow transplants. Part 2: Regression modeling. Bone Marrow Transplant 2001 Dec;28(11):1001-11
Date
01/10/2002Pubmed ID
11781608DOI
10.1038/sj.bmt.1703271Scopus ID
2-s2.0-0035663624 (requires institutional sign-in at Scopus site) 174 CitationsAbstract
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.
Author List
Klein JP, Rizzo JD, Zhang MJ, Keiding NAuthors
J. Douglas Rizzo MD, MS Director, Center Associate Director, Professor in the Medicine department at Medical College of WisconsinMei-Jie Zhang PhD Professor in the Institute for Health and Equity department at Medical College of Wisconsin
MESH terms used to index this publication - Major topics in bold
Bone Marrow TransplantationHumans
Matched-Pair Analysis
Multivariate Analysis
Proportional Hazards Models
Regression Analysis
Risk Factors
Treatment Outcome