Facultade de Fisioterapia

Nonparametric estimation of conditional transition probabilities in a non-Markov illness-death model

Meira-Machado, Luís P.; de Uña-Álvarez, Jacobo; Datta, Somnath
Abstract:
One important goal in multi-state modeling is the estimation of transition probabilities. In longitudinal medical studies these quantities are particularly of interest since they allow for long-term predictions of the process. In recent years significant contributions have been made regarding this topic. However, most of the approaches assume independent censoring and do not account for the influence of covariates. The goal of the paper is to introduce feasible estimation methods for the transition probabilities in an illness-death model conditionally on current or past covariate measures. All approaches are evaluated through a simulation study, leading to a comparison of two different estimators. The proposed methods are illustrated using a real colon cancer data set. Copyright Springer-Verlag Berlin Heidelberg 2015
Year:
2015
Type of Publication:
Article
Keywords:
Conditional survival; Dependent censoring; Kaplan Meier; Multi state model; Nonparametric regression
Journal:
Computational Statistics
Volume:
30
Number:
2
Pages:
377-397
Month:
June
DOI:
http://dx.doi.org/10.1007/s00180-014-0538-6
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