Skip to content

Advertisement

Open Access
Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

A comparison of the conditional inference survival forest model to random survival forests based on a simulation study as well as on two applications with time-to-event data

  • Justine B. Nasejje1Email author,
  • Henry Mwambi1,
  • Keertan Dheda2 and
  • Maia Lesosky3
BMC Medical Research MethodologyBMC series – open, inclusive and trusted201717:115

https://doi.org/10.1186/s12874-017-0383-8

Received: 17 February 2017

Accepted: 30 June 2017

Published: 28 July 2017

Back to article

Open Peer Review reports

Pre-publication versions of this article are available by contacting info@biomedcentral.com.

Original Submission
17 Feb 2017 Submitted Original manuscript
22 Mar 2017 Reviewed Reviewer Report - Veronika Weyer
6 Apr 2017 Reviewed Reviewer Report - Torsten Hothorn
20 May 2017 Author responded Author comments - Justine Bangirana Nasejje
Resubmission - Version 2
20 May 2017 Submitted Manuscript version 2
31 May 2017 Reviewed Reviewer Report - Torsten Hothorn
16 Jun 2017 Reviewed Reviewer Report - Veronika Weyer
Resubmission - Version 3
Submitted Manuscript version 3
Publishing
30 Jun 2017 Editorially accepted
28 Jul 2017 Article published 10.1186/s12874-017-0383-8

How does Open Peer Review work?

Open peer review is a system where authors know who the reviewers are, and the reviewers know who the authors are. If the manuscript is accepted, the named reviewer reports are published alongside the article. Pre-publication versions of the article are available by contacting info@biomedcentral.com.

You can find further information about the peer review system here.

Authors’ Affiliations

(1)
School of Statistics, Mathematics and Computer Science, University of Kwazulu-Natal, Pietermaritzburg, South Africa
(2)
Division of Pulmonology and UCT Lung Institute, Department of Medicine, University of Cape Town, Cape Town, South Africa
(3)
Division of Epidemiology and Biostatistics, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa

Advertisement