Laplace approximation, penalized quasi-likelihood, and adaptive Gauss-Hermite quadrature for generalized linear mixed models: Towards meta-analysis of binary outcome with sparse data

  • Ke Ju
  • , Lifeng Lin
  • , Haitao Chu
  • , Liang Liang Cheng
  • , Chang Xu

Research output: Contribution to journal › Article › peer-review

41   Link opens in a new tab Scopus citations

Fingerprint

Dive into the research topics of 'Laplace approximation, penalized quasi-likelihood, and adaptive Gauss-Hermite quadrature for generalized linear mixed models: Towards meta-analysis of binary outcome with sparse data'. Together they form a unique fingerprint.
Sort by

Keyphrases

Mathematics