B2641 - Longitudinal trajectory clustering allowing for genotype effects - 07/06/2016

B number: 
B2641
Principal applicant name: 
Celia Greenwood | Lady Davis Institute (Canada)
Co-applicants: 
Antonio Ciampi, Keelin Greenlaw
Title of project: 
Longitudinal trajectory clustering, allowing for genotype effects
Proposal summary: 

We propose to compare different statistical approaches to working with longitudinal trajectory data in the context where there are different time points when individuals are measured as well as variable missing data patterns. In particular, we want to look at the power for detecting genotype effects on trajectories.

Date proposal received: 
Tuesday, 1 March, 2016
Date proposal approved: 
Monday, 14 March, 2016
Keywords: 
Statistics/methodology, Behaviour - e.g. antisocial behaviour, risk behaviour, etc., Mental health, Statistical methods, Genetics - e.g. epigenetics, mendelian randomisation, UK10K, sequencing, etc., Methods - e.g. cross cohort analysis, data mining, mendelian randomisation, etc.