A flexible method for aggregation of prior statistical findings

Rapid growth in scientific output requires methods for quantitative synthesis of prior research, yet current meta-analysis methods limit aggregation to studies with similar designs. Here we describe and validate Generalized Model Aggregation (GMA), which allows researchers to combine prior estimated...

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Bibliographic Details
Main Authors: Paynabar, Kamran, Rahmandad, Hazhir, Jalali, Seyed Mohammad Javad
Other Authors: Sloan School of Management
Format: Article
Language:en_US
Published: Public Library of Science 2017
Online Access:http://hdl.handle.net/1721.1/110046
https://orcid.org/0000-0002-2784-9042

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