Bayesian Meta-Analysis - 9781032451909

£121.83

Bayesian Meta-AnalysisA Practical Introduction\nAuthor(s): Robert Grant, Gian Luca Di Tanna\nFormat: Hardback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: Chapman & Hall/CRC\nISBN-13: 9781032451909, 978-1032451909\nSynopsis\nMeta-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.\n\nKey Features\n\nIntroductory chapters assume no prior experience or mathematical training, and are aimed at non-statistica.

Bayesian Meta-Analysis - 9781032451909

Bayesian Meta-AnalysisA Practical Introduction\nAuthor(s): Robert Grant, Gian Luca Di Tanna\nFormat: Hardback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: Chapman & Hall/CRC\nISBN-13: 9781032451909, 978-1032451909\nSynopsis\nMeta-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.\n\nKey Features\n\nIntroductory chapters assume no prior experience or mathematical training, and are aimed at non-statistica.

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