Skip to Main content Skip to Navigation
Journal articles

A penalized likelihood approach for arbitrarily censored and truncated data: application to age-specific incidence of dementia.

Abstract : The Cos model is the model of choice when analyzing survival data presenting only right censoring and left truncation. There is a need for methods that can accommodate more complex observation schemes involving general censoring and truncation. In addition, it is important in many epidemiological applications to have a smooth estimate of the hazard function. We show that the penalized likelihood approach gives a solution to these problems. The solution of the maximum of the penalized likelihood is approximated on a basis of splines. The smoothing parameter is estimated using approximate cross-validation; confidence bands can be given. A simulation study shows that this approach gives better results than the smoothed Nelson-Aalen estimator. We apply this method to the analysis of data from a large cohort study on cerebral aging. The age-specific incidence of dementia is estimated and risk factors of dementia studied.
Document type :
Journal articles
Complete list of metadatas

https://www.hal.inserm.fr/inserm-00182453
Contributor : Evelyne Mouillet <>
Submitted on : Friday, October 26, 2007 - 9:40:17 AM
Last modification on : Wednesday, November 29, 2017 - 2:54:49 PM
Long-term archiving on: : Monday, April 12, 2010 - 12:44:11 AM

Identifiers

  • HAL Id : inserm-00182453, version 1
  • PUBMED : 9574965

Collections

Citation

Pierre Joly, Daniel Commenges, Luc Letenneur. A penalized likelihood approach for arbitrarily censored and truncated data: application to age-specific incidence of dementia.. Biometrics, Wiley, 1998, 54 (1), pp.185-94. ⟨inserm-00182453⟩

Share

Metrics

Record views

221

Files downloads

561