The relative importance of prognostic factors in studies of survival.

Abstract:

: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.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Schemper M

doi

10.1002/sim.4780122413

subject

Has Abstract

pub_date

1993-12-30 00:00:00

pages

2377-82

issue

24

eissn

0277-6715

issn

1097-0258

journal_volume

12

pub_type

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