Quantifying the extent of visit irregularity in longitudinal data
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Publication:6637111
DOI10.1515/IJB-2020-0144MaRDI QIDQ6637111
Jonathon Maguire, Eleanor M. Pullenayegum, Armend Lokku, Catherine Birken
Publication date: 13 November 2024
Published in: The International Journal of Biostatistics (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- Longitudinal data analysis using generalized linear models
- Joint Modeling and Analysis of Longitudinal Data with Informative Observation Times
- Semiparametric analysis of longitudinal data with informative observation times
- Regression Analysis of Longitudinal Data with Time-Dependent Covariates and Informative Observation Times
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- Approximate Inference in Generalized Linear Mixed Models
- Analysis of Longitudinal Data with Irregular, Outcome-Dependent Follow-Up
- Joint Analysis of Longitudinal Data With Informative Observation Times and a Dependent Terminal Event
- Semiparametric analysis of longitudinal data with informative observation times and censoring times
- Analysis of repeated events
- Mixed‐effects models for health care longitudinal data with an informative visiting process: A Monte Carlo simulation study
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