UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Reconstructing time-to-event data from published Kaplan–Meier curves

Wei, Y; Royston, P; (2017) Reconstructing time-to-event data from published Kaplan–Meier curves. The Stata Journal , 17 (4) pp. 786-802. Green open access

[thumbnail of Royston_sjart_st0498.pdf]
Preview
Text
Royston_sjart_st0498.pdf - Published Version

Download (280kB) | Preview

Abstract

Hazard ratios can be approximated by data extracted from published Kaplan–Meier curves. Recently, this curve approach has been extended beyond hazard-ratio approximation with the capability of constructing time-to-event data at the individual level. In this article, we introduce a command, ipdfc, to implement the reconstruction method to convert Kaplan–Meier curves to time-to-event data. We give examples to illustrate how to use the command.

Type: Article
Title: Reconstructing time-to-event data from published Kaplan–Meier curves
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.stata-journal.com/article.html?article=...
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: ipdfc, time-to-event data, Kaplan–Meier curves, hazard ratios
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology > MRC Clinical Trials Unit at UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10041885
Downloads since deposit
513Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item