Synthesizing external aggregated information in the presence of population heterogeneity: A penalized empirical likelihood approach
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Publication:6079489
DOI10.1111/biom.13429zbMath1520.62323OpenAlexW3126720684MaRDI QIDQ6079489
Chiung-Yu Huang, Mi-Ok Kim, Yifei Sun, Ying Sheng
Publication date: 30 October 2023
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/biom.13429
empirical likelihoodmeta-analysispopulation heterogeneityinformation synthesisregularized likelihood method
Related Items (5)
A discussion on “A selective review of statistical methods using calibration information from similar studies” by Qin, Liu and Li ⋮ Rejoinder on “A selective review of statistical methods using calibration information from similar studies” ⋮ Data Integration with Oracle Use of External Information from Heterogeneous Populations ⋮ Integrating information from existing risk prediction models with no model details ⋮ Efficient estimation of a Cox model when integrating the subgroup incidence rate information
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