Generalized meta-analysis for multiple regression models across studies with disparate covariate information

DOI10.1093/BIOMET/ASZ030zbMath1464.62293arXiv1708.03818OpenAlexW2963187586WikidataQ92711008 ScholiaQ92711008MaRDI QIDQ5859763

Prosenjit Kundu, Runlong Tang, Nilanjan Chatterjee

Publication date: 20 April 2021

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1708.03818

zbMATH Keywords

generalized method of momentsdata integrationmissing dataempirical likelihoodmeta-analysissemiparametric inferencemultivariate regression parameters

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Paired and multiple comparisons; multiple testing (62J15) Missing data (62D10) Statistical aspects of big data and data science (62R07)

Related Items (5)

Discussion of “A selective review of statistical methods using calibration information from similar studies” and some remarks on data integration ⋮ Joint integrative analysis of multiple data sources with correlated vector outcomes ⋮ Integrative analysis of multiple case‐control studies ⋮ Noniterative adjustment to regression estimators with population‐based auxiliary information for semiparametric models ⋮ A GMM approach in coupling internal data and external summary information with heterogeneous data populations

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