Measures to assess the prognostic ability of the stratified Cox proportional hazards model

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Measures to assess the prognostic ability of the stratified Cox proportional hazards model. / (Tybjaerg-Hansen, A.) The Fibrinogen Studies Collaboration.The Copenhagen City Heart Study; Tybjærg-Hansen, Anne.

In: Statistics in Medicine, Vol. 28, No. 3, 2009, p. 389-411.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

(Tybjaerg-Hansen, ATFSCTCCHS & Tybjærg-Hansen, A 2009, 'Measures to assess the prognostic ability of the stratified Cox proportional hazards model', Statistics in Medicine, vol. 28, no. 3, pp. 389-411.

APA

(Tybjaerg-Hansen, A. . T. F. S. C. T. C. C. H. S., & Tybjærg-Hansen, A. (2009). Measures to assess the prognostic ability of the stratified Cox proportional hazards model. Statistics in Medicine, 28(3), 389-411.

Vancouver

(Tybjaerg-Hansen ATFSCTCCHS, Tybjærg-Hansen A. Measures to assess the prognostic ability of the stratified Cox proportional hazards model. Statistics in Medicine. 2009;28(3):389-411.

Author

(Tybjaerg-Hansen, A.) The Fibrinogen Studies Collaboration.The Copenhagen City Heart Study ; Tybjærg-Hansen, Anne. / Measures to assess the prognostic ability of the stratified Cox proportional hazards model. In: Statistics in Medicine. 2009 ; Vol. 28, No. 3. pp. 389-411.

Bibtex

@article{72cdda5059aa11df928f000ea68e967b,
title = "Measures to assess the prognostic ability of the stratified Cox proportional hazards model",
abstract = "Many measures have been proposed to summarize the prognostic ability of the Cox proportional hazards (CPH) survival model, although none is universally accepted for general use. By contrast, little work has been done to summarize the prognostic ability of the stratified CPH model; such measures would be useful in analyses of individual participant data from multiple studies, data from multi-centre studies, and in single study analysis where stratification is used to avoid making assumptions of proportional hazards. We have chosen three measures developed for the unstratified CPH model (Schemper and Henderson's V , Harrell's C-index and Royston and Sauerbrei's D), adapted them for use with the stratified CPH model and demonstrated how their values can be represented over time. Although each of these measures is promising in principle, we found the measure of explained variation V very difficult to apply when data are combined from several studies with differing durations of participant follow-up. The two other measures considered, D and the C-index, were more applicable under such circumstances. We illustrate the methods using individual participant data from several prospective epidemiological studies of chronic disease outcomes Udgivelsesdato: 2009/2/1",
author = "(Tybjaerg-Hansen, {A.) The Fibrinogen Studies Collaboration.The Copenhagen City Heart Study} and Anne Tybj{\ae}rg-Hansen",
year = "2009",
language = "English",
volume = "28",
pages = "389--411",
journal = "Statistics in Medicine",
issn = "0277-6715",
publisher = "JohnWiley & Sons Ltd",
number = "3",

}

RIS

TY - JOUR

T1 - Measures to assess the prognostic ability of the stratified Cox proportional hazards model

AU - (Tybjaerg-Hansen, A.) The Fibrinogen Studies Collaboration.The Copenhagen City Heart Study

AU - Tybjærg-Hansen, Anne

PY - 2009

Y1 - 2009

N2 - Many measures have been proposed to summarize the prognostic ability of the Cox proportional hazards (CPH) survival model, although none is universally accepted for general use. By contrast, little work has been done to summarize the prognostic ability of the stratified CPH model; such measures would be useful in analyses of individual participant data from multiple studies, data from multi-centre studies, and in single study analysis where stratification is used to avoid making assumptions of proportional hazards. We have chosen three measures developed for the unstratified CPH model (Schemper and Henderson's V , Harrell's C-index and Royston and Sauerbrei's D), adapted them for use with the stratified CPH model and demonstrated how their values can be represented over time. Although each of these measures is promising in principle, we found the measure of explained variation V very difficult to apply when data are combined from several studies with differing durations of participant follow-up. The two other measures considered, D and the C-index, were more applicable under such circumstances. We illustrate the methods using individual participant data from several prospective epidemiological studies of chronic disease outcomes Udgivelsesdato: 2009/2/1

AB - Many measures have been proposed to summarize the prognostic ability of the Cox proportional hazards (CPH) survival model, although none is universally accepted for general use. By contrast, little work has been done to summarize the prognostic ability of the stratified CPH model; such measures would be useful in analyses of individual participant data from multiple studies, data from multi-centre studies, and in single study analysis where stratification is used to avoid making assumptions of proportional hazards. We have chosen three measures developed for the unstratified CPH model (Schemper and Henderson's V , Harrell's C-index and Royston and Sauerbrei's D), adapted them for use with the stratified CPH model and demonstrated how their values can be represented over time. Although each of these measures is promising in principle, we found the measure of explained variation V very difficult to apply when data are combined from several studies with differing durations of participant follow-up. The two other measures considered, D and the C-index, were more applicable under such circumstances. We illustrate the methods using individual participant data from several prospective epidemiological studies of chronic disease outcomes Udgivelsesdato: 2009/2/1

M3 - Journal article

VL - 28

SP - 389

EP - 411

JO - Statistics in Medicine

JF - Statistics in Medicine

SN - 0277-6715

IS - 3

ER -

ID: 19600197