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