PHMPL: a computer program for hazard estimation using a penalized likelihood method with interval-censored and left-truncated data

The Cox model is the model of choice when analyzing right-censored and possibly left-truncated survival data. The present paper proposes a program to estimate the hazard function in a proportional hazards model and also to treat more complex observation schemes involving general censored and left-tr...

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Bibliographic Details
Published in:Computer methods and programs in biomedicine 1999-11, Vol.60 (3), p.225-231
Main Authors: Joly, Pierre, Letenneur, Luc, Alioum, Ahmadou, Commenges, Daniel
Format: Article
Language:English
Subjects:
Age Factors
Aged
Aged, 80 and over
Bayes Theorem
Biological and medical sciences
Computerized, statistical medical data processing and models in biomedicine
Confidence Intervals
Dementia
Dementia - diagnosis
Dementia - epidemiology
Educational Status
Hazard estimation
Humans
Interval-censoring
Life Sciences
Likelihood Functions
Mathematical Computing
Medical computing and teaching
Medical sciences
Penalized likelihood
Proportional hazards
Proportional Hazards Models
Risk Assessment
Risk Assessment - methods
Risk Factors
Santé publique et épidémiologie
Software
Truncation
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Summary:The Cox model is the model of choice when analyzing right-censored and possibly left-truncated survival data. The present paper proposes a program to estimate the hazard function in a proportional hazards model and also to treat more complex observation schemes involving general censored and left-truncated data. The hazard function estimator is defined non-parametrically as the function which maximizes a penalized likelihood, and the solution is approximated using splines. The smoothing parameter is chosen using approximate cross-validation. Confidence bands for the estimator are given. As an illustration, the age-specific incidence of dementia is estimated and one of its risk factors is studied.
ISSN:0169-2607
1872-7565
DOI:10.1016/S0169-2607(99)00018-8