Likelihood‐based analysis of longitudinal data from outcome‐related sampling designs
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Publication:4979226
DOI10.1111/biom.12108zbMath1419.62416OpenAlexW1493351705WikidataQ30764905 ScholiaQ30764905MaRDI QIDQ4979226
Yannan Jiang, Christopher J. Wild, Ross D. Boylan, John M. Neuhaus, Charles E. McCulloch, Alastair J. Scott
Publication date: 17 June 2014
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc3954410
Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)
Related Items (3)
Unnamed Item ⋮ Small‐sample inference for cluster‐based outcome‐dependent sampling schemes in resource‐limited settings: Investigating low birthweight in Rwanda ⋮ Biased sampling designs to improve research efficiency: factors influencing pulmonary function over time in children with asthma
Cites Work
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- Longitudinal Studies of Binary Response Data Following Case-Control and Stratified Case-Control Sampling: Design and Analysis
- Estimation efficiency in a binary mixed-effects model setting
- Fitting regression models to case-control data by maximum likelihood
- The analysis of retrospective family studies
- Family‐Specific Approaches to the Analysis of Case–Control Family Data
- Maximum likelihood for generalized case-control studies
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