Integration of survival and binary data for variable selection and prediction: a Bayesian approach

Arnab Kumar Maity; Raymond J. Carroll; Bani K. Mallick

doi:10.1111/rssc.12377

Integration of survival and binary data for variable selection and prediction: a Bayesian approach

Journal of the Royal Statistical Society Series C (Applied Statistics) ◽

10.1111/rssc.12377 ◽

2019 ◽

Vol 68 (5) ◽

pp. 1577-1595

Author(s):

Arnab Kumar Maity ◽

Raymond J. Carroll ◽

Bani K. Mallick

Keyword(s):

Variable Selection ◽

Bayesian Approach ◽

Binary Data

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Efficient Variable Selection Method for Exposure Variables on Binary Data

Transactions of the Japanese Society for Artificial Intelligence ◽

10.1527/tjsai.22.148 ◽

2007 ◽

Vol 22 ◽

pp. 148-155

Author(s):

Manabu Ohno ◽

Tomoyuki Tarumi

Keyword(s):

Variable Selection ◽

Binary Data ◽

Selection Method ◽

Variable Selection Method

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A Bayesian Approach to Spherical Factor Analysis for Binary Data

SSRN Electronic Journal ◽

10.2139/ssrn.3672055 ◽

2020 ◽

Author(s):

Xingchen Yu ◽

Abel Rodriguez

Keyword(s):

Factor Analysis ◽

Bayesian Approach ◽

Binary Data

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A novel Bayesian approach for variable selection in linear regression models

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2019.106881 ◽

2020 ◽

Vol 144 ◽

pp. 106881

Author(s):

Konstantin Posch ◽

Maximilian Arbeiter ◽

Juergen Pilz

Keyword(s):

Linear Regression ◽

Variable Selection ◽

Bayesian Approach ◽

Regression Models ◽

Linear Regression Models

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Variable Selection in High-Dimensional Multivariate Binary Data with Application to the Analysis of Microbial Community DNA Fingerprints

Biometrics ◽

10.1111/j.0006-341x.2002.00378.x ◽

2002 ◽

Vol 58 (2) ◽

pp. 378-386 ◽

Cited By ~ 24

Author(s):

J. D. Wilbur ◽

J. K. Ghosh ◽

C. H. Nakatsu ◽

S. M. Brouder ◽

R. W. Doerge

Keyword(s):

Microbial Community ◽

Variable Selection ◽

Binary Data ◽

High Dimensional ◽

Dna Fingerprints ◽

Multivariate Binary Data

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Analysis of Clustered Binary Data With Unequal Cluster Sizes: A Semiparametric Bayesian Approach

Journal of Agricultural Biological and Environmental Statistics ◽

10.1007/s13253-009-0014-x ◽

2010 ◽

Vol 15 (1) ◽

pp. 101-118 ◽

Cited By ~ 2

Author(s):

David J. Nott ◽

Anthony Y. C. Kuk

Keyword(s):

Bayesian Approach ◽

Binary Data ◽

Clustered Binary Data ◽

Unequal Cluster

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A Bayesian approach to variable selection when the number of variables is very large

Institute of Mathematical Statistics Lecture Notes - Monograph Series - Statistics and science: a Festschrift for Terry Speed ◽

10.1214/lnms/1215091139 ◽

2003 ◽

pp. 127-143 ◽

Cited By ~ 10

Author(s):

Harri T. Kiiveri

Keyword(s):

Variable Selection ◽

Bayesian Approach

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NEW METHOD OF VARIABLE SELECTION FOR BINARY DATA CLUSTER ANALYSIS

Statistics in Transition New Series ◽

10.21307/stattrans-2016-020 ◽

2016 ◽

Vol 17 (2) ◽

pp. 295-304

Author(s):

Jerzy Korzeniewski

Keyword(s):

Cluster Analysis ◽

Variable Selection ◽

Binary Data ◽

New Method ◽

Selection For

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Heterogeneous Variable Selection in Nonlinear Panel Data Models: A Semi-Parametric Bayesian Approach

SSRN Electronic Journal ◽

10.2139/ssrn.3697480 ◽

2020 ◽

Author(s):

Anoek Castelein ◽

Dennis Fok ◽

Richard Paap

Keyword(s):

Panel Data ◽

Variable Selection ◽

Bayesian Approach ◽

Data Models ◽

Panel Data Models

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GEE-assisted Variable Selection for Latent Variable Models with Multivariate Binary Data

Journal of the American Statistical Association ◽

10.1080/01621459.2021.1987251 ◽

2021 ◽

pp. 1-30

Author(s):

Francis K. C. Hui ◽

Samuel Müller ◽

A. H. Welsh

Keyword(s):

Variable Selection ◽

Latent Variable ◽

Binary Data ◽

Latent Variable Models ◽

Multivariate Binary Data ◽

Selection For

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Query Large Scale Microarray Compendium Datasets Using a Model-Based Bayesian Approach with Variable Selection

PLoS ONE ◽

10.1371/journal.pone.0004495 ◽

2009 ◽

Vol 4 (2) ◽

pp. e4495 ◽

Cited By ~ 3

Author(s):

Ming Hu ◽

Zhaohui S. Qin

Keyword(s):

Variable Selection ◽

Bayesian Approach ◽

Large Scale ◽

Model Based

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