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Case Studies in Bayesian Statistics : Volume IV
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Modeling Customer Survey Data
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Chapter 2
Functional Connectivity in the Cortical Circuits Subserving Eye Movements
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Chapter 3
Modeling Risk of Breast Cancer and Decisions about Genetic Testing
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Chapter 4
The Bayesian approach to Population pharmacokinetic/pharmacodynamic modeling
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Chapter 5
Longitudinal Modeling of the Side Effects of Radiation Therapy
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Chapter 6
Analysis of hospital quality monitors using hierarchical time series models
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Chapter 7
Spatio-Temporal Hierarchical Models for Analyzing Atlanta Pediatric Asthma ER Visit Rates
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Chapter 8
Validating Bayesian Prediction Models: a Case Study in Genetic Susceptibility to Breast Cancer
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Chapter 9
Mixture Models in the Exploration of Structure-Activity Relationships in Drug Design
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Chapter 10
Population Models for Hematologic Data
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Chapter 11
A Hierarchical Spatial Model for Constructing Wind Fields from Scatterometer Data in the Labrador Sea
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Chapter 12
Redesigning a Network of Rainfall Stations
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Chapter 13
Using PSA to detect prostate cancer onset: An application of Bayesian retrospective and prospective changepoint identification
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Chapter 14
Erratum to: Analysis of hospital quality monitors using hierarchical time series models
Overall attention for this book and its chapters
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Mentioned by
syllabi
1
institution with syllabi
Citations
dimensions_citation
9
Dimensions
Readers on
mendeley
13
Mendeley
Book overview
1. Modeling Customer Survey Data
2. Functional Connectivity in the Cortical Circuits Subserving Eye Movements
3. Modeling Risk of Breast Cancer and Decisions about Genetic Testing
4. The Bayesian approach to Population pharmacokinetic/pharmacodynamic modeling
5. Longitudinal Modeling of the Side Effects of Radiation Therapy
6. Analysis of hospital quality monitors using hierarchical time series models
7. Spatio-Temporal Hierarchical Models for Analyzing Atlanta Pediatric Asthma ER Visit Rates
8. Validating Bayesian Prediction Models: a Case Study in Genetic Susceptibility to Breast Cancer
9. Mixture Models in the Exploration of Structure-Activity Relationships in Drug Design
10. Population Models for Hematologic Data
11. A Hierarchical Spatial Model for Constructing Wind Fields from Scatterometer Data in the Labrador Sea
12. Redesigning a Network of Rainfall Stations
13. Using PSA to detect prostate cancer onset: An application of Bayesian retrospective and prospective changepoint identification
14. Erratum to: Analysis of hospital quality monitors using hierarchical time series models
Summary
Syllabi
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
1
syllabus from an institution on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Georgia Institute of Technology-Main Campus
1
Chemistry, Civil Engineering, Engineering