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A comparison of multiple imputation methods for handling missing values in longitudinal data in the presence of a time-varying covariate with a non-linear association with time: a simulation study

  • Anurika Priyanjali De Silva1,
  • Margarita Moreno-Betancur2, 3,
  • Alysha Madhu De Livera1,
  • Katherine Jane Lee2, 4 and
  • Julie Anne Simpson1Email author
BMC Medical Research MethodologyBMC series – open, inclusive and trusted201717:114

Received: 3 November 2016

Accepted: 26 June 2017

Published: 25 July 2017

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Open Peer Review reports

Pre-publication versions of this article are available by contacting

Original Submission
3 Nov 2016 Submitted Original manuscript
2 Dec 2016 Reviewed Reviewer Report - Cathy Welch
6 Apr 2017 Reviewed Reviewer Report - Henry Mwambi
14 May 2017 Author responded Author comments - Anurika De Silva
Resubmission - Version 2
14 May 2017 Submitted Manuscript version 2
26 Jun 2017 Editorially accepted
25 Jul 2017 Article published 10.1186/s12874-017-0372-y

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

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

Authors’ Affiliations

Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
Clinical Epidemiology and Biostatistics Unit, Murdoch Childrens Research Institute, Royal Children’s Hospital, Melbourne, Australia
Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
Department of Paediatrics, University of Melbourne, Melbourne, Australia