Joint analysis of longitudinal data and competing terminal events in the presence of dependent observation times with application to chronic kidney disease
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Publication:5138228
DOI10.1080/02664763.2016.1155202OpenAlexW2346291172MaRDI QIDQ5138228
Tai-Fang C. Lu, Shuo-Chun Weng, Chao-Min Hsu, Chyong-Mei Chen, K.-H. Shu
Publication date: 3 December 2020
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://figshare.com/articles/journal_contribution/Joint_analysis_of_longitudinal_data_and_competing_terminal_events_in_the_presence_of_dependent_observation_times_with_application_to_chronic_kidney_disease/3101215
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Cites Work
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- Longitudinal data analysis using generalized linear models
- Joint Modeling and Analysis of Longitudinal Data with Informative Observation Times
- Score tests for independence in semiparametric competing risks models
- A class of k-sample tests for comparing the cumulative incidence of a competing risk
- Score tests for independence in parametric competing risks models
- Analysing panel count data with informative observation times
- A Semiparametric Proportional Odds Regression Model for the Analysis of Current Status Data
- Semiparametric Transformation Models with Random Effects for Joint Analysis of Recurrent and Terminal Events
- Analysis of Longitudinal Data in the Presence of Informative Observational Times and a Dependent Terminal Event, with Application to Medical Cost Data
- Joint modelling of accelerated failure time and longitudinal data
- Regression Analysis of Longitudinal Data in the Presence of Informative Observation and Censoring Times
- Individual Prediction in Prostate Cancer Studies Using a Joint Longitudinal Survival–Cure Model
- The identifiability of the competing risks model
- A nonidentifiability aspect of the problem of competing risks.
- Analysis of interval-grouped recurrent-event data using piecewise constant rate functions
- A Joint Model for Survival and Longitudinal Data Measured with Error
- Analyzing Recurrent Event Data With Informative Censoring
- A Proportional Hazards Model for the Subdistribution of a Competing Risk
- Semiparametric Marginal Regression Analysis for Dependent Competing Risks Under an Assumed Copula
- Joint Modeling and Estimation for Recurrent Event Processes and Failure Time Data
- The Identifiability of the Mixed Proportional Hazards Competing Risks Model
- Analysis of Longitudinal Data with Irregular, Outcome-Dependent Follow-Up
- Time‐Varying Latent Effect Model for Longitudinal Data with Informative Observation Times
- Joint Analysis of Longitudinal Data With Informative Observation Times and a Dependent Terminal Event
- Semiparametric competing risks analysis
- Joint Analysis of Longitudinal Data with Informative Right Censoring
- Frailty Survival Model Analysis of the National Deceased Donor Kidney Transplant Dataset Using Poisson Variance Structures
- Semiparametric Regression Analysis of Longitudinal Data With Informative Observation Times
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