This paper is in the following e-collection/theme issue:

Non-randomized Protocols and Methods (ehealth) (567) Decision Support for Health Professionals (1185) Obstetrics, Gynecology, and Reproductive Medicine (225) Surgery, Trauma and Surgical Sciences (144) New and Emerging Methods and Tools in Surgery and Anaesthesiology (41) Tools, Programs and Algorithms (266) User-centred Design Case Studies (596)

Published on in Vol 10, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20986, first published .
Development and Validation of Clinical Prediction Models for Surgical Success in Patients With Endometriosis: Protocol for a Mixed Methods Study

Development and Validation of Clinical Prediction Models for Surgical Success in Patients With Endometriosis: Protocol for a Mixed Methods Study

Development and Validation of Clinical Prediction Models for Surgical Success in Patients With Endometriosis: Protocol for a Mixed Methods Study

Authors of this article:

Nadine Marlin1 Author Orcid Image ;   Carol Rivas2 Author Orcid Image ;   John Allotey3 Author Orcid Image ;   Julie Dodds3 Author Orcid Image ;   Andrew Horne4 Author Orcid Image ;   Elizabeth Ball3 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Nadine Marlin   1 , DipSBM, MSc ;   Carol Rivas   2 , BSc (Hons), MSc, PhD ;   John Allotey   3 , BSc, MSc, PhD ;   Julie Dodds   3 , BSc, PhD ;   Andrew Horne   4 , MBChB, PhD ;   Elizabeth Ball   3 , MD, PhD

1 Pragmatic Clinical Trials Unit, Centre for Primary Care and Public Health, Queen Mary University of London, London, United Kingdom

2 UCL Social Research Institute, University College London, London, United Kingdom

3 Women's Health Research Unit, Centre for Primary Care and Public Health, Queen Mary University of London, London, United Kingdom

4 MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, United Kingdom

Corresponding Author:

  • Carol Rivas, BSc (Hons), MSc, PhD
  • UCL Social Research Institute
  • University College London
  • 18 Woburn Square
  • London, WC1H 0NR
  • United Kingdom
  • Phone: 44 2076126923
  • Email: c.rivas@ucl.ac.uk