article Open AccessTop 10% cited
Framework to construct and interpret latent class trajectory modelling
BMJ Open · 2018 · Vol. 8(7) · pp. e020683–e020683
Hannah Lennon✉(University of Manchester)Scott P. Kelly(National Institutes of Health)Matthew Sperrin(University of Manchester)Iain Buchan(University of Manchester)Amanda J. Cross(Imperial College London)Michael F. Leitzmann(University of Regensburg)Michael B. Cook(National Institutes of Health)Andrew G. Renehan✉(University of Manchester)
Abstract
We propose a framework to construct and select a 'core' LCTM, which will facilitate generalisability of results in future studies.
Health, Environment, Cognitive AgingCancer Risks and FactorsGlobal Cancer Incidence and ScreeningLatent class modelMedicineStatisticsRandom effects modelConcordanceMixed modelEconometricsMathematicsMeta-analysis
MeSH terms
Latent Class AnalysisAdolescentAdultBody WeightDietFemaleHumansLife StyleMaleMiddle AgedSurveys and QuestionnairesMental RecallRisk FactorsUnited StatesCohort Studies
Funding
- Cancer Research UK
- Novo Nordisk
- Medical Research Council
- Economic and Social Research Council
- National Cancer Institute
- Cilag
Citations
389
FWCI
7.63
field-weighted impact
References
35
Percentile
98%
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