Gary L Rosner, Purushottam W. Laud, Wesley O. Johnson

Bayesian Thinking in Biostatistics (eBook, ePUB)

• Format: ePub

Produktbeschreibung

With a focus on incorporating sensible prior distributions and discussions on many recent developments in Bayesian methodologies, Bayesian Thinking in Biostatistics considers statistical issues in biomedical research.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 621
• Erscheinungstermin: 15. März 2021
• Englisch
• ISBN-13: 9781000353006
• Artikelnr.: 61281828

Autorenporträt

Authors

Gary L. Rosner is the Eli Kennerly Marshall, Jr., Professor of Oncology at the Johns Hopkins School of Medicine and Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health.

Purushottam (Prakash) W. Laud is Professor in the Division of Biostatistics, and Director of the Biostatistics Shared Resource for the Cancer Center, at the Medical College of Wisconsin.

Wesley O. Johnson is professor Emeritus in the Department of Statistics as the University of California, Irvine.

Inhaltsangabe

1. Scientific Data Analysis 2. Fundamentals I: Bayes Theorem, Knowledge
Distributions, Prediction 3. Fundamentals II: Models for Exchangeable
Observations 4. Computational Methods for Bayesian Analysis 5. Comparing
Populations 6. Specifying Prior Distributions 7. Linear Regression 8.
Binary Response Regression 9. Poisson and Non-linear Regression 10. Model
Assessment 11Survival Modeling I: Models for Exchangeable Observations 12.
Survival Modeling 2: Time-to-Event Regression Models 13. Clinical Trial
Designs 14. Hierarchical Models and Longitudinal Data 15. Diagnostic Tests