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Applied Bayesian Statistical Studies in Biology and Medicine

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Cover of 'Applied Bayesian Statistical Studies in Biology and Medicine'

Table of Contents

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    Book Overview
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    Chapter 1 Some Reflections on the Current State of Statistics
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    Chapter 2 Answering Two Biological Questions with a Latent Class Model via MCMC Applied to Capture-Recapture Data
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    Chapter 3 On the Bayesian Inference of the Hardy-Weinberg Equilibrium Model
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    Chapter 4 Identifying a Bayesian Network for the Problem “Hospital and Families: The Analysis of Patient Satisfaction with Their Stay in Hospital”
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    Chapter 5 Reliability of GIST Diagnosis Based on Partial Information
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    Chapter 6 Comparing Two Groups or Treatments—A Bayesian Approach
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    Chapter 7 Two Experimental Settings in Clinical Trials: Predictive Criteria for Choosing the Sample Size in Interval Estimation
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    Chapter 8 Attributing a Paleoanthropological Specimen to a Prehistoric Population: A Bayesian Approach with Multivariate B-Spline Functions
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    Chapter 9 An Example of the Subjectivist Statistical Method for Learning from Data: Why do Whales Strand when They do?
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    Chapter 10 Development and Communication of Bayesan Methodology for Medical Device Clinical Trials
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    Chapter 11 An Adaptive SIR Algorithm for Bayesian Multilevel Inference on Categorical Data
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    Chapter 12 Age at Death Diagnosis by Cranial Suture Obliteration: A Bayesian Approach
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    Chapter 13 Bayesian Estimation of Restriction Fragment Length from Electrophoretic Analysis
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Title
Applied Bayesian Statistical Studies in Biology and Medicine
Published by
Springer Science & Business Media, January 2004
DOI 10.1007/978-1-4613-0217-9
ISBNs
978-1-4613-0217-9, 978-1-4613-7946-1
Editors

Bacco, M., D’Amore, G., Scalfari, F.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 36%
Lecturer 2 18%
Student > Ph. D. Student 2 18%
Other 1 9%
Researcher 1 9%
Other 0 0%
Unknown 1 9%
Readers by discipline Count As %
Environmental Science 2 18%
Mathematics 2 18%
Computer Science 2 18%
Agricultural and Biological Sciences 2 18%
Arts and Humanities 1 9%
Other 2 18%