Laplace approximation, penalized quasi-likelihood, and adaptive Gauss–Hermite quadrature for generalized linear mixed models: towards meta-analysis of binary outcome with sparse data
Crossref DOI link: https://doi.org/10.1186/s12874-020-01035-6
Published Online: 2020-06-11
Published Print: 2020-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ju, Ke
Lin, Lifeng
Chu, Haitao
Cheng, Liang-Liang
Xu, Chang
Text and Data Mining valid from 2020-06-11
Version of Record valid from 2020-06-11
Article History
Received: 16 January 2020
Accepted: 27 May 2020
First Online: 11 June 2020
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