Partly Conditional Estimation of the Effect of a Time‐Dependent Factor in the Presence of Dependent Censoring
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Publication:2846440
DOI10.1111/BIOM.12023zbMath1274.62777OpenAlexW1484226128WikidataQ36955112 ScholiaQ36955112MaRDI QIDQ2846440
Publication date: 5 September 2013
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc3692598
longitudinal datasurvival analysisdependent censoringproportional hazards regressioninverse weightinglandmark analysistime axis
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Cites Work
- Unnamed Item
- Longitudinal data analysis using generalized linear models
- Discussion of: ``Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches
- A Semiparametric Likelihood Approach to Joint Modeling of Longitudinal and Time-to-Event Data
- Joint Analysis of Longitudinal Data Comprising Repeated Measures and Times to Events
- A Joint Model for Survival and Longitudinal Data Measured with Error
- Modeling Partly Conditional Means With Longitudinal Data
- Correcting for Noncompliance and Dependent Censoring in an AIDS Clinical Trial with Inverse Probability of Censoring Weighted (IPCW) Log‐Rank Tests
- Modeling the Relationship of Survival to Longitudinal Data Measured with Error. Applications to Survival and CD4 Counts in Patients with AIDS
- Dynamic Prediction by Landmarking in Event History Analysis
- Partly Conditional Survival Models for Longitudinal Data
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