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9.2 MB
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1E263BA947D95B586E609936BBCFBCF9969E1CC0
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Added:
June 23, 2025, 5:28 p.m.
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(Last updated: June 23, 2025, 5:29 p.m.)
| File | Size |
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| ['Grant R. Bayesian Meta-Analysis. A Practical Introduction 2025.pdf'] | 0 bytes |
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46.4 MB
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2024-05-19
| Uploaded by indexFroggy | Size 46.4 MB | Health [ 15 /3 ] | Added 2024-05-19 |
NOTE
SOURCE: Grant R. Bayesian Meta-Analysis. A Practical Introduction 2025
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COVER
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MEDIAINFO
Textbook in PDF format Meta-analysis is the statistical combination of previously conducted studies, often from summary statistics but sometimes with individual participant data. It is widespread in life sciences and is gaining popularity in economics and beyond. In many real-life meta-analyses, challenges in the source information, such as unreported statistics or biases, can be incorporated using Bayesian methods. Bayesian Meta-Analysis: A Practical Introduction provides an approachable introduction for researchers who are new to Bayes, meta-analysis, or both. There is an emphasis on hands-on learning using a variety of software packages
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