[Statlist] Research seminar in statistics May 8th 2015, GSEM University of Geneva

[Eva Cantoni]

Organisers :
E. Cantoni - E. Ronchetti - S. Sperlich - M-P. Victoria-Feser

Friday May 8th, 2015
at 11h15 - Room M 5220, Uni Mail (40, bd du Pont-d'Arve)

Summarizing the association between disease onset and survival under 
cross-sectional sampling

  Marco Carone
University of Washington Seattle

ABSTRACT:
In this work, we study a framework for quantifying the association 
between disease onset and survival. Usual models for bivariate times 
generally quantify departures from independence between the two times. 
If these times have a constrained sum, such as in the case of age at 
disease onset and residual lifetime from onset, model parameters may 
fail to have an appealing interpretation. To provide a an interpretable 
description of the association between disease onset and survival, we 
construct and study a novel semiparametric model. Using the idea of 
targeted maximum likelihood estimation, we then consider estimation and 
inference for parameters based on this model using survival data 
obtained through a cross-sectional survey with follow-up. The data 
generated by this common epidemiological design are subject to 
systematic biases. We infer the association between dementia and the 
residual lifetime of Canadian elderly individuals using data from the 
Canadian Study of Health and Aging.


Visit the website: http://www.stat-center.unige.ch/ressem.html

-- 
Prof. Eva Cantoni
Research Center for Statistics and
      Geneva School of Economics and Management
University of Geneva, Bd du Pont d'Arve 40, CH-1211 Genève 4
http://stat-center.unige.ch/members2/profs/eva-cantoni/