Premium
Validation, calibration, revision and combination of prognostic survival models
Author(s) -
van Houwelingen Hans C.
Publication year - 2000
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/1097-0258(20001230)19:24<3401::aid-sim554>3.0.co;2-2
Subject(s) - calibration , proportional hazards model , computer science , survival analysis , population , set (abstract data type) , statistics , econometrics , data mining , mathematics , medicine , environmental health , programming language
The problem of assessing the validity and value of prognostic survival models presented in the literature for a particular population for which some data has been collected is discussed. Methods are sketched to perform validation through ‘calibration’, that is by embedding the literature model in a larger calibration model. This general approach is exemplified for x ‐year survival probabilities, Cox regression and general non‐proportional hazards models. Some comments are made on basic structural changes to the model, described as ‘revision’. Finally, general methods are discussed to combine models from different sources. The methods are illustrated with a model for non‐Hodgkin's lymphoma validated on a Dutch data set. Copyright © 2000 John Wiley & Sons, Ltd.