Presented at the Society for Clinical Trials/International Society for Clinical Biostatistics Joint Meeting, Brussels, Belgium, July 1991.
The relative importance of prognostic factors in studies of survival†
Article first published online: 12 OCT 2006
Copyright © 1993 John Wiley & Sons, Ltd.
Statistics in Medicine
Volume 12, Issue 24, pages 2377–2382, 30 December 1993
How to Cite
Schemper, M. (1993), The relative importance of prognostic factors in studies of survival. Statist. Med., 12: 2377–2382. doi: 10.1002/sim.4780122413
- Issue published online: 12 OCT 2006
- Article first published online: 12 OCT 2006
The relative importance of prognostic factors in regression can be measured either by standardized regression coefficients or by percentages of explained variation in a dependent variable. One advantage of using explained variation is the direct comparability of qualitative prognostic factors with others, or of groups of prognostic factors. The description of relative importance can be accomplished within marginal or partial effects analyses. It is demonstrated that it is possible not only to provide a descriptive ranking of prognostic factors according to their statistically determined importance, but also to make inferences concerning their relative importance, employing bootstrap techniques and procedures for multiple comparisons. The methods presented, which are new in the context of Cox regression, are exemplified by analyses of studies of lung cancer and breast cancer.