I
Ingram Olkin
Researcher at Stanford University
Publications - 288
Citations - 79100
Ingram Olkin is an academic researcher from Stanford University. The author has contributed to research in topics: Multivariate statistics & Multivariate normal distribution. The author has an hindex of 79, co-authored 288 publications receiving 74131 citations. Previous affiliations of Ingram Olkin include University of British Columbia & Michigan State University.
Papers
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Journal ArticleDOI
Meta-analysis of observational studies in epidemiology - A proposal for reporting
Donna F. Stroup,Jesse A. Berlin,Sally C. Morton,Ingram Olkin,G. D. Williamson,Drummond Rennie,Drummond Rennie,David Moher,Betsy Jane Becker,Theresa Ann Sipe,Stephen B. Thacker +10 more
TL;DR: A checklist contains specifications for reporting of meta-analyses of observational studies in epidemiology, including background, search strategy, methods, results, discussion, and conclusion should improve the usefulness ofMeta-an analyses for authors, reviewers, editors, readers, and decision makers.
Book
Statistical Methods for Meta-Analysis
Larry V. Hedges,Ingram Olkin +1 more
TL;DR: In this article, the authors present a model for estimating the effect size from a series of experiments using a fixed effect model and a general linear model, and combine these two models to estimate the effect magnitude.
Journal ArticleDOI
Statistical Methods for Meta-Analysis.
TL;DR: In this paper, the authors present a model for estimating the effect size from a series of experiments using a fixed effect model and a general linear model, and combine these two models to estimate the effect magnitude.
Book
Inequalities: Theory of Majorization and Its Applications
TL;DR: In this paper, Doubly Stochastic Matrices and Schur-Convex Functions are used to represent matrix functions in the context of matrix factorizations, compounds, direct products and M-matrices.
Journal ArticleDOI
Improving the quality of reports of meta-analyses of randomised controlled trials: the QUOROM statement
TL;DR: This report hopes this report will generate further thought about ways to improve the quality of reports of meta-analyses of RCTs and that interested readers, reviewers, researchers, and editors will use the QUOROM statement and generate ideas for its improvement.