Modelling correlated binary variables: an application to lower urinary tract symptoms-Reference-Cited by-同舟云学术

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Modelling correlated binary variables: an application to lower urinary tract symptoms

Published:2018-03-13 Issue:4 Volume:67 Page:1083-1100
ISSN:0035-9254
Container-title:Journal of the Royal Statistical Society: Series C (Applied Statistics)
language:en
Short-container-title:J. R. Stat. Soc. C

Author:

Barcella William¹,Iorio Maria De¹,Malone‐Lee James¹

Affiliation:

1. University College London UK

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/rssc.12268

Reference34 articles.

1. Bayesian Analysis of Binary and Polychotomous Response Data

2. Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems

3. Multi-Variate Probit Analysis

4. Dependent generalised Dirichlet process priors for the analysis of acute lymphoblastic leukaemia;Barcella W.;Biostatistics,2016

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1. The Construction of Generalized Dirichlet Process Distribu-tions via Pólya urn and Gibbs Sampling;JIRSS-J IRAN STAT SO;2022

2. A Multivariate Randomized Response Model for Sensitive Binary Data;Econometrics and Statistics;2022-01

3. Seemingly Unrelated Multi-State Processes: A Bayesian Semiparametric Approach;Bayesian Analysis;2022-01-01

4. A Bayesian nonparametric approach to dynamic item‐response modeling: An application to the GUSTO cohort study;Statistics in Medicine;2021-08-19

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