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PubMed · 10579515

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

P Joly·L Letenneur·A Alioum·D Commenges
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Abstract

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.

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Age FactorsAgedAged, 80 and overBayes TheoremConfidence IntervalsDementiaEducational StatusHumansLikelihood FunctionsMathematical ComputingProportional Hazards ModelsRisk AssessmentRisk FactorsSoftwareJournal Article

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P Joly, L Letenneur, A Alioum, D Commenges. 1999. PHMPL: a computer program for hazard estimation using a penalized likelihood method with interval-censored and left-truncated data.. https://doi.org/10.1016/s0169-2607(99)00018-8

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