A Bayesian Regression Model with Variable Selection for Genome‐Wide Association Studies (English)
- New search for: Chen, Carla
- New search for: Mengersen, Kerrie L.
- New search for: Ickstadt, Katja
- New search for: Keith, Jonathan M.
- New search for: Alston, Clair L.
- New search for: Mengersen, Kerrie L.
- New search for: Pettitt, Anthony N.
- New search for: Chen, Carla
- New search for: Mengersen, Kerrie L.
- New search for: Ickstadt, Katja
- New search for: Keith, Jonathan M.
In:
Case Studies in Bayesian Statistical Modelling and Analysis
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103-117
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2012
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ISBN:
- Article/Chapter (Book) / Electronic Resource
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Title:A Bayesian Regression Model with Variable Selection for Genome‐Wide Association Studies
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Contributors:Alston, Clair L. ( editor ) / Mengersen, Kerrie L. ( editor ) / Pettitt, Anthony N. ( editor ) / Chen, Carla ( author ) / Mengersen, Kerrie L. ( author ) / Ickstadt, Katja ( author ) / Keith, Jonathan M. ( author )
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Published in:
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Publisher:
- New search for: John Wiley & Sons, Ltd
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Place of publication:Chichester, UK
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Publication date:2012-11-23
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Size:15 pages
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ISBN:
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DOI:
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Type of media:Article/Chapter (Book)
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Type of material:Electronic Resource
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Language:English
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Keywords:proposed models, using TID data set , simple regression model with stochastic search into GWA , GWAs, and specific application , Bayesian regression model and GWA variable selection , GENICA on Gene Environmental/breast CAncer in Germany , Bayesian models, two, for continuous/dichotomous traits , variable selection, as elements of new models , WTCCC TID, multiple modes in posterior distribution , SNPs, contributing to genetic cause in diseases , model parameters, estimation using MCMC
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Source:
Table of contents eBook
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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IntroductionAlston, Clair L. / Donald, Margaret / Mengersen, Kerrie L. / Pettitt, Anthony N. et al. | 2012
- 17
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Introduction to MCMCPettitt, Anthony N. / Hincksman, Candice M. et al. | 2012
- 30
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Priors: Silent or Active Partners of Bayesian Inference?Low Choy, Samantha et al. | 2012
- 66
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Bayesian Analysis of the Normal Linear Regression ModelStrickland, Christopher M. / Alston, Clair L. et al. | 2012
- 90
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Adapting ICU Mortality Models for Local Data: A Bayesian ApproachGraham, Petra L. / Mengersen, Kerrie L. / Cook, David A. et al. | 2012
- 103
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A Bayesian Regression Model with Variable Selection for Genome‐Wide Association StudiesChen, Carla / Mengersen, Kerrie L. / Ickstadt, Katja / Keith, Jonathan M. et al. | 2012
- 118
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Bayesian Meta‐AnalysisPitchforth, Jegar O. / Mengersen, Kerrie L. et al. | 2012
- 141
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Bayesian Mixed Effects ModelsAlston, Clair L. / Strickland, Christopher M. / Mengersen, Kerrie L. / Gardner, Graham E. et al. | 2012
- 159
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Ordering of Hierarchies in Hierarchical Models: Bone Mineral Density EstimationWalsh, Cathal D. / Mengersen, Kerrie L. et al. | 2012
- 171
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Bayesian Weibull Survival Model for Gene Expression DataThamrin, Sri Astuti / McGree, James M. / Mengersen, Kerrie L. et al. | 2012
- 186
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Bayesian Change Point Detection in Monitoring Clinical OutcomesAssareh, Hassan / Smith, Ian / Mengersen, Kerrie L. et al. | 2012
- 197
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Bayesian SplinesClifford, Samuel / Low Choy, Samantha et al. | 2012
- 221
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Disease Mapping Using Bayesian Hierarchical ModelsEarnest, Arul / Cramb, Susanna M. / White, Nicole M. et al. | 2012
- 240
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Moisture, Crops and Salination: An Analysis of a Three‐Dimensional Agricultural Data SetDonald, Margaret / Alston, Clair L. / Young, Rick / Mengersen, Kerrie L. et al. | 2012
- 252
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A Bayesian Approach to Multivariate State Space Modelling: A Study of a Fama–French Asset‐Pricing Model with Time‐Varying RegressorsStrickland, Christopher M. / Gharghori, Philip et al. | 2012
- 267
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Bayesian Mixture Models: When the Thing You Need to Know is the Thing You Cannot MeasureAlston, Clair L. / Mengersen, Kerrie L. / Gardner, Graham E. et al. | 2012
- 287
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Latent Class Models in MedicineRolfe, Margaret / White, Nicole M. / Chen, Carla et al. | 2012
- 310
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Hidden Markov Models for Complex Stochastic Processes: A Case Study in ElectrophysiologyWhite, Nicole M. / Johnson, Helen / Silburn, Peter / Rousseau, Judith / Mengersen, Kerrie L. et al. | 2012
- 330
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Bayesian Classification and Regression TreesO'Leary, Rebecca A. / Low Choy, Samantha / Hu, Wenbiao / Mengersen, Kerrie L. et al. | 2012
- 348
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Tangled Webs: Using Bayesian Networks in the Fight Against InfectionWaterhouse, Mary / Johnson, Sandra et al. | 2012
- 361
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Implementing Adaptive dose Finding Studies Using Sequential Monte CarloMcGree, James M. / Drovandi, Christopher C. / Pettitt, Anthony N. et al. | 2012
- 374
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Likelihood‐Free Inference for Transmission Rates of Nosocomial PathogensDrovandi, Christopher C. / Pettitt, Anthony N. et al. | 2012
- 388
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Variational Bayesian Inference for Mixture ModelsMcGrory, Clare A. et al. | 2012
- 403
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Issues in Designing Hybrid AlgorithmsLee, Jeong E. / Mengersen, Kerrie L. / Robert, Christian P. et al. | 2012
- 421
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A Python Package for Bayesian Estimation Using Markov Chain Monte CarloStrickland, Christopher M. / Denham, Robert J. / Alston, Clair L. / Mengersen, Kerrie L. et al. | 2012
- 461
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Index| 2012
- 465
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Wiley Series in Probability and Statistics| 2012
- i
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Front Matter| 2012