This article has Open Peer Review reports available.
Performance of Firth-and logF-type penalized methods in risk prediction for small or sparse binary data
© The Author(s) 2017
Received: 25 July 2016
Accepted: 16 February 2017
Published: 23 February 2017
Open Peer Review reports
Pre-publication versions of this article and author comments to reviewers are available by contacting firstname.lastname@example.org.
|25 Jul 2016||Submitted||Original manuscript|
|17 Sep 2016||Reviewed||Reviewer Report - Mohammad A. Mansournia|
|20 Sep 2016||Reviewed||Reviewer Report - Menelaos Pavlou|
|15 Dec 2016||Author responded||Author comments - M. Shafiqur Rahman|
|Resubmission - Version 2|
|15 Dec 2016||Submitted||Manuscript version 2|
|17 Dec 2016||Reviewed||Reviewer Report - Mohammad A. Mansournia|
|29 Jan 2017||Reviewed||Reviewer Report - Menelaos Pavlou|
|6 Feb 2017||Author responded||Author comments - M. Shafiqur Rahman|
|Resubmission - Version 3|
|6 Feb 2017||Submitted||Manuscript version 3|
|13 Feb 2017||Author responded||Author comments - M. Shafiqur Rahman|
|Resubmission - Version 4|
|13 Feb 2017||Submitted||Manuscript version 4|
|16 Feb 2017||Editorially accepted|
|23 Feb 2017||Article published||10.1186/s12874-017-0313-9|
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