Modelling covariate adjusted mortality relative to a standard population. Stat Med 1999 Jun 30;18(12):1529-40
Date
07/09/1999Pubmed ID
10398290DOI
10.1002/(sici)1097-0258(19990630)18:12<1529::aid-sim137>3.0.co;2-jScopus ID
2-s2.0-0033618089 (requires institutional sign-in at Scopus site) 3 CitationsAbstract
A study of long term survival of 1487 patients given an allogeneic bone marrow transplant for acute myelogenous leukaemia and 729 patients given a transplant for severe aplastic anaemia was conducted by the International Bone Marrow Transplant Registry. One aim of this study is to determine if the mortality rates of these patients return after some period of time to the same mortality rate as in the general population. To examine this question a model for the relative mortality of a bone marrow transplant patient relative to a matched individual in the general population is presented. This model allows for different relative mortality rates depending on the risk factors the patient may have. We discuss an estimation procedure for this model and construct a test that the mortality rate in the transplanted population is the same as in the reference population over a given time interval.
Author List
Andersen PK, Horowitz MM, Klein JP, Socie G, Stone JV, Zhang MJAuthors
Mary M. Horowitz MD, MS 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
AdolescentAdult
Age Factors
Anemia, Aplastic
Bone Marrow Transplantation
Child
Europe
Female
Graft vs Host Disease
Humans
Japan
Leukemia, Myeloid, Acute
Male
Models, Biological
North America
Reference Values
Regression Analysis
Risk Factors