Estimating stage occupation probabilities in non-Markov models

DOI10.1007/S10985-007-9034-4zbMath1162.62417OpenAlexW2021193359WikidataQ79864420 ScholiaQ79864420MaRDI QIDQ1019468

Ørnulf Borgan, Nina Gunnes, Odd O. Aalen

Publication date: 2 June 2009

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-007-9034-4

zbMATH Keywords

Aalen-Johansen estimatorAdditive regression modelDatta-Satten estimatorDependent censoringInverse probability of censoring weighting

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items (5)

Bayesian bivariate survival analysis using the power variance function copula ⋮ Targeted estimation of state occupation probabilities for the non‐Markov illness‐death model ⋮ A competing risks approach for nonparametric estimation of transition probabilities in a non-Markov illness-death model ⋮ Estimating summary functionals in multistate models with an application to hospital infection data ⋮ A hybrid landmark Aalen-Johansen estimator for transition probabilities in partially non-Markov multi-state models

Uses Software

• ElemStatLearn
• bootstrap

Cites Work

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• Analysis of multivariate survival data
• Survival analysis. Techniques for censored and truncated data.
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• Correcting for Noncompliance and Dependent Censoring in an AIDS Clinical Trial with Inverse Probability of Censoring Weighted (IPCW) Log‐Rank Tests
• Dynamic Analysis of Recurrent Event Data Using the Additive Hazard Model
• Statistical models based on counting processes
• The elements of statistical learning. Data mining, inference, and prediction
• Estimating the marginal survival function in the presence of time dependent covariates

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