A competing risks approach for nonparametric estimation of transition probabilities in a non-Markov illness-death model
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Publication:509848
DOI10.1007/s10985-013-9269-1zbMath1359.62471arXiv1304.2293OpenAlexW2594245784WikidataQ39395325 ScholiaQ39395325MaRDI QIDQ509848
Jan Beyersmann, Aurélien Latouche, Arthur Allignol, Thomas A. Gerds
Publication date: 21 February 2017
Published in: Lifetime Data Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1304.2293
Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Non-Markovian processes: estimation (62M09) Medical epidemiology (92C60)
Related Items (11)
Nonparametric estimation of transition probabilities in the non‐Markov illness‐death model: A comparative study ⋮ Targeted estimation of state occupation probabilities for the non‐Markov illness‐death model ⋮ The Kaplan-Meier Integral in the Presence of Covariates: A Review ⋮ Bootstrapping the Kaplan-Meier estimator on the whole line ⋮ Methods for checking the Markov condition in multi-state survival data ⋮ Non-parametric inference of transition probabilities based on Aalen-Johansen integral estimators for acyclic multi-state models: application to LTC insurance ⋮ Transition probability estimates for non-Markov multi-state models ⋮ An alternative approach to confidence interval estimation for the win ratio statistic ⋮ Landmark estimation of transition probabilities in non-Markov multi-state models with covariates ⋮ A hybrid landmark Aalen-Johansen estimator for transition probabilities in partially non-Markov multi-state models ⋮ Inference for transition probabilities in non-Markov multi-state models
Cites Work
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- Estimating summary functionals in multistate models with an application to hospital infection data
- Estimating stage occupation probabilities in non-Markov models
- Validity of the Aalen-Johansen estimators of stage occupation probabilities and Nelson-Aalen estimators of integrated transition hazards for non-Markov models
- Unified methods for censored longitudinal data and causality
- Consistent estimation under random censorship when covariables are present
- On semi-competing risks data
- A Note on Variance Estimation of the Aalen-Johansen Estimator of the Cumulative Incidence Function in Competing Risks, with a View towards Left-Truncated Data
- Robust Inference for Event Probabilities with Non-Markov Event Data
- Estimation of Integrated Transition Hazards and Stage Occupation Probabilities for Non-Markov Systems Under Dependent Censoring
- Competing Risks and Multistate Models with R
- Multivariate Survival Analysis
- A note on nonparametric estimators of the bivariate survival function under univariate censoring
- A simple nonparametric estimator of the bivariate survival function under univariate censoring
- Nonparametric Estimation for the Three‐Stage Irreversible Illness–Death Model
- Nonparametric Estimation of the Bivariate Survivor Function
- Application of multistate models in hospital epidemiology: Advances and challenges
- Locally Efficient Estimation With Bivariate Right-Censored Data
- Statistical models based on counting processes
- Nonparametric estimation of transition probabilities in a non-Markov illness-death model
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