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Nonparametric Bayesian Inference in Biostatistics

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Cover of 'Nonparametric Bayesian Inference in Biostatistics'

Table of Contents

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    Book Overview
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    Chapter 1 Bayesian Nonparametric Models
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    Chapter 2 Bayesian Nonparametric Biostatistics
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    Chapter 3 Bayesian Shape Clustering
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    Chapter 4 Estimating Latent Cell Subpopulations with Bayesian Feature Allocation Models
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    Chapter 5 Species Sampling Priors for Modeling Dependence: An Application to the Detection of Chromosomal Aberrations
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    Chapter 6 Modeling the Association Between Clusters of SNPs and Disease Responses
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    Chapter 7 Bayesian Inference on Population Structure: From Parametric to Nonparametric Modeling
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    Chapter 8 Bayesian Approaches for Large Biological Networks
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    Chapter 9 Nonparametric Variable Selection, Clustering and Prediction for Large Biological Datasets
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    Chapter 10 Markov Processes in Survival Analysis
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    Chapter 11 Bayesian Spatial Survival Models
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    Chapter 12 Fully Nonparametric Regression Modelling of Misclassified Censored Time-to-Event Data
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    Chapter 13 Neuronal Spike Train Analysis Using Gaussian Process Models
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    Chapter 14 Bayesian Analysis of Curves Shape Variation Through Registration and Regression
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    Chapter 15 Biomarker-Driven Adaptive Design
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    Chapter 16 Bayesian Nonparametric Approaches for ROC Curve Inference
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    Chapter 17 Spatial Bayesian Nonparametric Methods
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    Chapter 18 Spatial Species Sampling and Product Partition Models
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    Chapter 19 Spatial Boundary Detection for Areal Counts
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    Chapter 20 A Bayesian Nonparametric Causal Model for Regression Discontinuity Designs
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    Chapter 21 Bayesian Nonparametrics for Missing Data in Longitudinal Clinical Trials
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Citations

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Title
Nonparametric Bayesian Inference in Biostatistics
Published by
Springer International Publishing, July 2015
DOI 10.1007/978-3-319-19518-6
ISBNs
978-3-31-919517-9, 978-3-31-919518-6
Editors

Mitra, Riten, Müller, Peter

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Belgium 1 1%
Canada 1 1%
Unknown 89 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 24%
Student > Master 18 20%
Researcher 13 14%
Student > Doctoral Student 7 8%
Student > Bachelor 5 5%
Other 14 15%
Unknown 13 14%
Readers by discipline Count As %
Mathematics 20 22%
Agricultural and Biological Sciences 11 12%
Medicine and Dentistry 8 9%
Biochemistry, Genetics and Molecular Biology 7 8%
Social Sciences 6 7%
Other 24 26%
Unknown 16 17%

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