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A penalized likelihood approach for a progressive three-state model with censored and truncated data: application to AIDS.
Biometrics 1999; 55(3):887-90B

Abstract

We consider the estimation of the intensity and survival functions for a continuous time progressive three-state semi-Markov model with intermittently observed data. The estimator of the intensity function is defined nonparametrically as the maximum of a penalized likelihood. We thus obtain smooth estimates of the intensity and survival functions. This approach can accommodate complex observation schemes such as truncation and interval censoring. The method is illustrated with a study of hemophiliacs infected by HIV. The intensity functions and the cumulative distribution functions for the time to infection and for the time to AIDS are estimated. Covariates can easily be incorporated into the model.

Authors+Show Affiliations

INSERM U. 330, Université de Bordeaux II, France. pjoly@u-bordeaux2.frNo affiliation info available

Pub Type(s)

Journal Article

Language

eng

PubMed ID

11315022

Citation

Joly, P, and D Commenges. "A Penalized Likelihood Approach for a Progressive Three-state Model With Censored and Truncated Data: Application to AIDS." Biometrics, vol. 55, no. 3, 1999, pp. 887-90.
Joly P, Commenges D. A penalized likelihood approach for a progressive three-state model with censored and truncated data: application to AIDS. Biometrics. 1999;55(3):887-90.
Joly, P., & Commenges, D. (1999). A penalized likelihood approach for a progressive three-state model with censored and truncated data: application to AIDS. Biometrics, 55(3), pp. 887-90.
Joly P, Commenges D. A Penalized Likelihood Approach for a Progressive Three-state Model With Censored and Truncated Data: Application to AIDS. Biometrics. 1999;55(3):887-90. PubMed PMID: 11315022.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - A penalized likelihood approach for a progressive three-state model with censored and truncated data: application to AIDS. AU - Joly,P, AU - Commenges,D, PY - 2001/4/21/pubmed PY - 2001/8/17/medline PY - 2001/4/21/entrez SP - 887 EP - 90 JF - Biometrics JO - Biometrics VL - 55 IS - 3 N2 - We consider the estimation of the intensity and survival functions for a continuous time progressive three-state semi-Markov model with intermittently observed data. The estimator of the intensity function is defined nonparametrically as the maximum of a penalized likelihood. We thus obtain smooth estimates of the intensity and survival functions. This approach can accommodate complex observation schemes such as truncation and interval censoring. The method is illustrated with a study of hemophiliacs infected by HIV. The intensity functions and the cumulative distribution functions for the time to infection and for the time to AIDS are estimated. Covariates can easily be incorporated into the model. SN - 0006-341X UR - https://www.unboundmedicine.com/medline/citation/11315022/A_penalized_likelihood_approach_for_a_progressive_three_state_model_with_censored_and_truncated_data:_application_to_AIDS_ L2 - https://onlinelibrary.wiley.com/resolve/openurl?genre=article&sid=nlm:pubmed&issn=0006-341X&date=1999&volume=55&issue=3&spage=887 DB - PRIME DP - Unbound Medicine ER -