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Bayesian Thinking in Biostatistics
Buch von Gary L Rosner (u. a.)
Sprache: Englisch

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Beschreibung

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.

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.

Über den Autor

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.

Inhaltsverzeichnis

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

Details
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Medium: Buch
Seiten: 601
ISBN-13: 9781439800089
ISBN-10: 1439800081
Sprache: Englisch
Einband: Gebunden
Autor: Rosner, Gary L
Laud, Purushottam W
Johnson, Wesley O
Hersteller: CRC Press
Maße: 254 x 178 x 33 mm
Von/Mit: Gary L Rosner (u. a.)
Erscheinungsdatum: 01.01.2021
Gewicht: 1,284 kg
preigu-id: 121907898
Über den Autor

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.

Inhaltsverzeichnis

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

Details
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Medium: Buch
Seiten: 601
ISBN-13: 9781439800089
ISBN-10: 1439800081
Sprache: Englisch
Einband: Gebunden
Autor: Rosner, Gary L
Laud, Purushottam W
Johnson, Wesley O
Hersteller: CRC Press
Maße: 254 x 178 x 33 mm
Von/Mit: Gary L Rosner (u. a.)
Erscheinungsdatum: 01.01.2021
Gewicht: 1,284 kg
preigu-id: 121907898
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