Linear spline multilevel models for summarising childhood growth trajectories: A guide to their application using examples from five birth cohorts.
Saved in:
| Title: | Linear spline multilevel models for summarising childhood growth trajectories: A guide to their application using examples from five birth cohorts. |
|---|---|
| Authors: | Howe LD; MRC Integrative Epidemiology Unit at the University of Bristol, School of Social and Community Medicine, University of Bristol, UK laura.howe@bristol.ac.uk., Tilling K; School of Social and Community Medicine, University of Bristol, UK., Matijasevich A; Postgraduate Programme in Epidemiology, Federal University of Pelotas, Pelotas, Brazil., Petherick ES; Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK., Santos AC; Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School, University of Porto Institute of Public Health, Porto, Portugal., Fairley L; Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK., Wright J; Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK., Santos IS; Postgraduate Programme in Epidemiology, Federal University of Pelotas, Pelotas, Brazil., Barros AJ; Postgraduate Programme in Epidemiology, Federal University of Pelotas, Pelotas, Brazil., Martin RM; School of Social and Community Medicine, University of Bristol, UK National Institute for Health Research Bristol Nutrition Biomedical Research Unit, University of Bristol / University Hospitals Bristol NHS Foundation Trust, Bristol, UK., Kramer MS; Department of Pediatrics, Faculty of Medicine, McGill University, Montreal, Canada., Bogdanovich N; Belarusian Ministry of Health and Belarussian Maternal and Child Health Research Institute, Minsk, Belarus., Matush L; Belarusian Ministry of Health and Belarussian Maternal and Child Health Research Institute, Minsk, Belarus., Barros H; Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School, University of Porto Institute of Public Health, Porto, Portugal., Lawlor DA; MRC Integrative Epidemiology Unit at the University of Bristol, School of Social and Community Medicine, University of Bristol, UK. |
| Source: | Statistical methods in medical research [Stat Methods Med Res] 2016 Oct; Vol. 25 (5), pp. 1854-1874. Date of Electronic Publication: 2013 Oct 09. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: SAGE Publications Country of Publication: England NLM ID: 9212457 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1477-0334 (Electronic) Linking ISSN: 09622802 NLM ISO Abbreviation: Stat Methods Med Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
