BEGIN:VCALENDAR
VERSION:1.0
PRODID:Faculty of Science and Engineering - Research
BEGIN:VEVENT
SUMMARY:Helen Ogden (University of Southampton): Adaptively-Structured Mixed Models for Simple Clustered Data
DESCRIPTION;ENCODING=QUOTED-PRINTABLE: =0D=0A=
I will describe a new class of flexible mixed-effects models for simple clustered or longitudinal data. The idea of these Adaptively-Structured Mixed Models (AdaStruMMs) is to replace pre-specified random-effects structure by unknowns to be estimated. AdaStruMMs meet three requirements, at least one of which is unmet by all existing approaches I have considered:=0D=0A=
 =0D=0A=
1. Sufficient flexibility to represent individual trajectories as arbitrary smooth curves.=0D=0A=
 =0D=0A=
2. Information sharing between individuals to exploit structural similarities.=0D=0A=
 =0D=0A=
3. Accurate estimation of individual trajectories and population summaries across different data structures.=0D=0A=
 =0D=0A=
I will demonstrate the high-quality inference offered by AdaStruMMs through a range of simulations, and give some ideas about visualising and interpreting model fit through an example on changes in body composition in adolescent girls.=0D=0A=
=0D=0A=
Teams link
LOCATION:Hybrid: MB503, SMS, QMUL, or via the Teams link below
DTSTART:20260305T140000
DTEND:20260305T150000
END:VEVENT
END:VCALENDAR