Inference for multi-state models from interval-censored data

DOI10.1191/0962280202sm279razbMath1121.62589OpenAlexW2055452874WikidataQ30695603 ScholiaQ30695603MaRDI QIDQ5424139

Daniel Commenges

Publication date: 2 November 2007

Published in: Statistical Methods in Medical Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1191/0962280202sm279ra

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (13)

Multi-state Model for Dementia, Institutionalization, and Death ⋮ Inference for outcome probabilities in multi-state models ⋮ Estimation of multi-state models with missing covariate values based on observed data likelihood ⋮ A Finite‐State Continuous‐Time Approach for Inferring Regional Migration and Mortality Rates from Archival Tagging and Conventional Tag‐Recovery Experiments ⋮ Multi-state models for event history analysis ⋮ Likelihood for Generally Coarsened Observations from Multistate or Counting Process Models ⋮ Analysis of Functional Status Transitions by Using a Semi-Markov Process Model in the Presence of Left-Censored Spells ⋮ Multiple imputation for estimating the risk of developing dementia and its impact on survival ⋮ Unnamed Item ⋮ Statistical inference based on the nonparametric maximum likelihood estimator under double-truncation ⋮ Maximum likelihood estimation for a special exponential family under random double-truncation ⋮ Nonparametric estimation in an “illness-death” model when all transition times are interval censored ⋮ Nonparametric inference based on panel count data

Uses Software

• MKVPCI

Cites Work

• Unnamed Item
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• A Penalized Likelihood Approach for Arbitrarily Censored and Truncated Data: Application to Age-Specific Incidence of Dementia
• A Penalized Likelihood Approach for a Progressive Three‐State Model with Censored and Truncated Data: Application to AIDS
• A Proportional Hazards Model for Interval-Censored Failure Time Data
• Semiparametric Estimation in a Three-State Duration-Dependent Markov Model from Interval-Censored Observations with Application to AIDS Data
• Analyzing Doubly Censored Data with Covariates, with Application to AIDS

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