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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

01/10/2002

Pubmed ID

11781608

DOI

10.1038/sj.bmt.1703271

Scopus ID

2-s2.0-0035663624 (requires institutional sign-in at Scopus site)   174 Citations

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.

Author List

Klein JP, Rizzo JD, Zhang MJ, Keiding N

Authors

J. Douglas Rizzo MD, MS Director, Center Associate Director, Professor in the Medicine department at Medical College of Wisconsin
Mei-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 Transplantation
Humans
Matched-Pair Analysis
Multivariate Analysis
Proportional Hazards Models
Regression Analysis
Risk Factors
Treatment Outcome