BEGIN:VCALENDAR
PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
 M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20130214T083628Z
DTSTART:20130313T140000Z
DTEND:20130313T170000Z
SUMMARY:Multilevel Modelling
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}j9l-hd5nmt3
 g-qwv2yq
DESCRIPTION:Theme: Multilevel Modelling\n\nProgramme:\n\n14.00 – 14.50: P
 rofessor Fiona Steele\, Co-Director\, Centre for Multilevel Modelling\, 
 University of Bristol\n\nTitle: “Adjusting for Selection Bias in Longitu
 dinal Analyses of the Relationship between Employment Transitions and He
 alth Using Simultaneous Equations Modelling”\n\nThere is substantial int
 erest in understanding the association between labour force participatio
 n and mental health\, and in particular the impact of unemployment on we
 llbeing.  While panel data allow detailed examination of the dynamics of
  the relationship between changes in labour force participation and ment
 al health\, selection bias remains a serious concern.  We test for two t
 ypes of selection effect: (i) direct selection (where prior health affec
 ts employment status)\, and (ii) indirect selection (due to unmeasured c
 haracteristics influencing both health and employment outcomes).  We the
 n examine the impact of adjusting for selection biases on estimates of t
 he effect of employment transitions on mental health. We investigate the
  relationship between men’s employment transitions and mental health usi
 ng data from the British Household Panel Survey\, 1991-2009.  We model t
 he effect of a change in employment status between years t-1 and t on me
 ntal health at t\, adjusting for mental health at t-1. Using a dynamic s
 imultaneous equations model we allow explicitly for an effect of health 
 at t-1 on employment transitions between t-1 and t to allow for direct s
 election.  The health and employment equations include individual-specif
 ic random effects which are correlated across equations to allow for ind
 irect selection due to shared unmeasured influences.\n\n14.50 – 15.40: P
 rofessor Chris Roberts\, Centre for Biostatistics\, University of Manche
 ster\n\nTitle:  “Partial Nesting: Some Implications for Design and Analy
 sis”\n\nIn some setting heterogeneity of clustering effects is confounde
 d with treatment effect estimation. This can occur in trials evaluating 
 group treatments and non-pharmacological therapies. One example of this 
 partial nesting in which a clustering occurs in one group but not in the
  comparator leading to clusters of size one in a multilevel analysis. Th
 is talk will consider the statistical design and analysis implications f
 or binary and continuous outcome measures\, presenting the results of a 
 series of simulation studies.\n\n15.40 – 16.00: Tea/coffee break\n\n16.0
 0 – 16.50: Dr Wendy Harrison\, Leeds Institute of Genetics\, Health and 
 Therapeutics (LIGHT)\, University of Leeds\n\nTitle:  “Multilevel latent
  class casemix modelling: a novel approach to accommodate patient casemi
 x”\n\nUsing routinely collected patient data we explore the utility of m
 ultilevel latent class (MLLC) models to adjust for patient casemix and r
 ank NHS Trust performance. We contrast this with ranks derived from Trus
 t standardised mortality ratios (SMRs). Our outcome is survival at 3 yea
 rs after diagnosis and we adjust for patient age\, sex\, stage at diagno
 sis and socioeconomic status. The multilevel latent class analysis ident
 ified two patient classes and two Trust classes\, and differences in the
  ranked Trust performance between the MLLC model and SMRs were all withi
 n estimated 95% confidence intervals. This approach to casemix adjustmen
 t allows us to rank Trust performance whilst facilitating the evaluation
  of factors associated with the patient journey (e.g. treatments) and fa
 ctors associated with the processes of healthcare delivery (e.g. delays)
 . Further research can demonstrate the value of modelling patient pathwa
 ys and evaluating healthcare processes across provider institutions.\n
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:MANDEC\, Dental School and Hospital\, Manchester
END:VEVENT
END:VCALENDAR