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Lingua: Inglese
Editore: H N H International Limited, 2024
ISBN 10: 1032287500 ISBN 13: 9781032287508
Da: Majestic Books, Hounslow, Regno Unito
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Lingua: Inglese
Editore: H N H International Limited, 2024
ISBN 10: 1032287500 ISBN 13: 9781032287508
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 168 1st Edition NO-PA16APR2015-KAP.
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Editore: Chapman And Hall/CRC Jul 2024, 2024
ISBN 10: 1032287500 ISBN 13: 9781032287508
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 146,80
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Delve into the realm of statistical methodology for mediation analysis with a Bayesian perspective in high dimensional data through this comprehensive guide. Focused on various forms of time-to-event data methodologies, this book helps readers master the application of Bayesian mediation analysis using R. Across ten chapters, this book explores concepts of mediation analysis, survival analysis, accelerated failure time modeling, longitudinal data analysis, and competing risk modeling. Each chapter progressively unravels intricate topics, from the foundations of Bayesian approaches to advanced techniques like variable selection, bivariate survival models, and Dirichlet process priors. With practical examples and step-by-step guidance, this book empowers readers to navigate the intricate landscape of high-dimensional data analysis, fostering a deep understanding of its applications and significance in diverse fields. 170 pp. Englisch.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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Editore: H N H International Limited, 2024
ISBN 10: 1032287500 ISBN 13: 9781032287508
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 174,69
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 168.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 160,99
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Delve into the realm of statistical methodology for mediation analysis with a Bayesian perspective in high dimensional data through this comprehensive guide. Focused on various forms of time-to-event data methodologies, this book helps readers master the application of Bayesian mediation analysis using R. Across ten chapters, this book explores concepts of mediation analysis, survival analysis, accelerated failure time modeling, longitudinal data analysis, and competing risk modeling. Each chapter progressively unravels intricate topics, from the foundations of Bayesian approaches to advanced techniques like variable selection, bivariate survival models, and Dirichlet process priors. With practical examples and step-by-step guidance, this book empowers readers to navigate the intricate landscape of high-dimensional data analysis, fostering a deep understanding of its applications and significance in diverse fields.