Statistical methods for the analysis and presentation of the results of bone marrow transplants. Part I: unadjusted analysis. Bone Marrow Transplant 2001 Nov;28(10):909-15
Date
12/26/2001Pubmed ID
11753543DOI
10.1038/sj.bmt.1703260Scopus ID
2-s2.0-0035203456 (requires institutional sign-in at Scopus site) 216 CitationsAbstract
In this paper, we describe modern statistical methods for presentation of the results of studies of bone marrow transplantation. We focus here on 'univariate' or unadjusted techniques to describe the outcomes of such studies. In another paper we will discuss multivariate methods. We discuss the type of data one may have available to make inference about outcomes. We explain the differences between the Kaplan-Meier estimator of the survival function and the cumulative incidence curve, how these curves should be interpreted and when each is the appropriate summary statistic. We discuss the weighted log rank statistic and show how different weights can be used to put emphasis on detecting differences between groups in different time periods. We also present a simple estimate of current leukemia-free survival which is useful in summarizing post-transplant events.
Author List
Klein JP, Rizzo JD, Zhang MJ, Keiding NAuthors
J. Douglas Rizzo MS, MD Director, Center Associate Director, Professor in the Medicine department at Medical College of WisconsinMei-Jie Zhang PhD, MS Emeritus Professor in the Data Science Institute department at Medical College of Wisconsin
MESH terms used to index this publication - Major topics in bold
Analysis of VarianceBone Marrow Transplantation
Humans
Models, Statistical
Survival Analysis
Treatment Outcome
