Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032451890 ISBN 13: 9781032451893
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032451890 ISBN 13: 9781032451893
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032451890 ISBN 13: 9781032451893
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Language: English
Published by Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032451890 ISBN 13: 9781032451893
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Paperback. Condition: New. 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.Key FeaturesIntroductory chapters assume no prior experience or mathematical training, and are aimed at non-statistical researchersExamples of basic meta-analyses in seven different software alternatives: BUGS, JAGS, Stan, bayesmeta, brms, Stata, and JASPPractical advice on extracting information from studies, eliciting expert opinions, managing project decisions, and writing up findingsDiscussion of specific problems, including publication bias, unreported statistics, and a mixture of study designs, with code examplesAccompanying online blog and forum, with all code and data from the book, plus more translations to different softwareThis book aims to bridge the gap between the researcher who wants to carry out tailored meta-analysis and the techniques they need, which have previously been available only in mathematically or computationally demanding publications.
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032451890 ISBN 13: 9781032451893
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Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032451890 ISBN 13: 9781032451893
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Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032451890 ISBN 13: 9781032451893
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032451890 ISBN 13: 9781032451893
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. 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.Key FeaturesIntroductory chapters assume no prior experience or mathematical training, and are aimed at non-statistical researchersExamples of basic meta-analyses in seven different software alternatives: BUGS, JAGS, Stan, bayesmeta, brms, Stata, and JASPPractical advice on extracting information from studies, eliciting expert opinions, managing project decisions, and writing up findingsDiscussion of specific problems, including publication bias, unreported statistics, and a mixture of study designs, with code examplesAccompanying online blog and forum, with all code and data from the book, plus more translations to different softwareThis book aims to bridge the gap between the researcher who wants to carry out tailored meta-analysis and the techniques they need, which have previously been available only in mathematically or computationally demanding publications.
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032451890 ISBN 13: 9781032451893
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Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032451890 ISBN 13: 9781032451893
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Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032451890 ISBN 13: 9781032451893
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Paperback. Condition: Brand New. 336 pages. 10.00x7.00x10.00 inches. In Stock.
Language: English
Published by Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032451890 ISBN 13: 9781032451893
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Paperback. Condition: New. 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.Key FeaturesIntroductory chapters assume no prior experience or mathematical training, and are aimed at non-statistical researchersExamples of basic meta-analyses in seven different software alternatives: BUGS, JAGS, Stan, bayesmeta, brms, Stata, and JASPPractical advice on extracting information from studies, eliciting expert opinions, managing project decisions, and writing up findingsDiscussion of specific problems, including publication bias, unreported statistics, and a mixture of study designs, with code examplesAccompanying online blog and forum, with all code and data from the book, plus more translations to different softwareThis book aims to bridge the gap between the researcher who wants to carry out tailored meta-analysis and the techniques they need, which have previously been available only in mathematically or computationally demanding publications.
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032451904 ISBN 13: 9781032451909
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032451890 ISBN 13: 9781032451893
Seller: Rarewaves.com UK, London, United Kingdom
Paperback. Condition: New. 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.Key FeaturesIntroductory chapters assume no prior experience or mathematical training, and are aimed at non-statistical researchersExamples of basic meta-analyses in seven different software alternatives: BUGS, JAGS, Stan, bayesmeta, brms, Stata, and JASPPractical advice on extracting information from studies, eliciting expert opinions, managing project decisions, and writing up findingsDiscussion of specific problems, including publication bias, unreported statistics, and a mixture of study designs, with code examplesAccompanying online blog and forum, with all code and data from the book, plus more translations to different softwareThis book aims to bridge the gap between the researcher who wants to carry out tailored meta-analysis and the techniques they need, which have previously been available only in mathematically or computationally demanding publications.
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032451904 ISBN 13: 9781032451909
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032451904 ISBN 13: 9781032451909
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Published by Chapman and Hall/CRC, 2025
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Condition: New. Robert Grant is a statistician who has worked throughout his career with evidence synthesis and Bayesian models. He is one of the developers of Stan software, and a chartered fellow of the Royal Statistical Society. He worked on health service qua.
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032451904 ISBN 13: 9781032451909
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Robert Grant is a statistician who has worked throughout his career with evidence synthesis and Bayesian models. He is one of the developers of Stan software, and a chartered fellow of the Royal Statistical Society. He worked on health service qua.