Programas e Resumos 3 WASA 2013

17
3º Workshop em Análise de
Sobrevivência e Aplicações
27 a 29 de Novembro de 2013 - IMECC - UNICAMP
Conferência 5 (C5)
A marginal proportional hazards model for spatial survival data
Dipankar Bandyopadhyay
Resumo: Dental studies often produce spatially-referenced time-to-event data,
such as the time until tooth loss due to periodontal disease.
These data are used to identify risk factors associated with tooth loss and to predict
the outcomes for an individual patient. In this talk, we assume a proportional hazard
model and account for dependence between nearby teeth using spatial frailties,
which are modeled as linear combinations of positive stable random effects.
This model permits predictions conditioned on spatial random effects that account
for the survival status of nearby teeth, and simultaneously preserves the proportional
hazards relationship marginally over the random effects allowing for interpretable
estimates of the effects of risk factors on tooth loss.
We apply this model to a dataset obtained from a private dental practice to illustrate
how this model can be used to identify important risk factors for tooth loss and
predict the remaining lifespan of a patient’s teeth.
This is joint work with Drs. Brian J. Reich and Martha Nunn.
Horário
24 h
14: 00 as 15:
45
: wasa@
ime.unicamp.br
: www.ime.unicamp.br/~wasa