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J-shapedness: an often missed, often miscalculated relation: the example of weight and mortality.
- Source :
-
Journal of epidemiology and community health [J Epidemiol Community Health] 2014 Jul; Vol. 68 (7), pp. 683-90. Date of Electronic Publication: 2014 Mar 28. - Publication Year :
- 2014
-
Abstract
- We present three considerations in analysing the association between weight and mortality, as well as other relations that might be non-linear in nature. First, authors must graphically plot their independent and dependent variables in a continuous manner. Second, authors should assess the shape of that relation, and note its shape. If it is non-linear, and specifically, J-shaped or U-shaped, careful consideration should be given to using the 'best' statistical model, of which multivariate fractional polynomial regression is a reasonable choice. Authors should also refrain from truncating their data to avoid dealing with non-linear relations.<br /> (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.)
Details
- Language :
- English
- ISSN :
- 1470-2738
- Volume :
- 68
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- Journal of epidemiology and community health
- Publication Type :
- Academic Journal
- Accession number :
- 24683176
- Full Text :
- https://doi.org/10.1136/jech-2013-203439