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Nonparametric inference procedure for percentiles of the random effects distribution in meta-analysis
Bivariate beta conditional permutation test
2010/10/19
To investigate whether treating cancer patients with erythropoiesis-stimulating agents (ESAs) would increase the mortality risk, Bennett et al. [Journal of the American Medical Association 299 (2008) ...
Estimation in Dirichlet random effects models
Linear mixed models generalized linear mixed models hierarchicalmodels Gibbs sampling Bayes estimation
2010/3/10
We also investigate methods for the estimation of the precision parameter
of the Dirichlet process, finding that maximum likelihood
may not be desirable, but a posterior mode is a reasonable approac...
Bayes One-Sample and One-Way Random Effects Analyses for 3-D Orientations with Application to Materials Science
ayes credible intervals Electron backscatter diffraction Gibbs Metropolis-Hastings one-way random effects model
2009/9/24
We consider Bayes inference for a class of distributions on orientations in 3 dimensions described by 3 × 3 rotation matrices. Non-informative priors are identified and Metropolis-H...
Integral priors for the one way random effects model
Bayesian model selection Integral priors Intrinsic priors Random effects model Recurrent Markov chains
2009/9/22
The one way random effects model is analyzed from the Bayesian
model selection perspective. From this point of view Bayes factors are the key
tool to choose between two models. In order to produce ...
Multivariate Spatiotemporal CDFs with Random Effects and Measurement Error
Air pollution Bayesian methods Change of support problem Kriging Markov chain Monte Carlo (MCMC) methods
2009/9/21
Spatial cumulative distributions (SCDFs) are useful in environmental applica-
tions for example, by helping assess the fraction of a region exposed to harmful
pollutants. Data sets containing the re...
Discrete Duration Model Having Autoregressive Random Effects with Application to Japanese Diffusion Index
autoregressive random effects discrete proportional hazards model Markov chain Monte Carlo method sequential probit model state space model
2009/3/10
This article describes a semiparametric estimation method for a discrete duration model with autoregressive random effects using Markov chain Monte Carlo techniques, and analyzes the duration of ten m...
A RANDOM-EFFECTS LOG-LINEAR MODEL WITH POISSON DISTRIBUTIONS
log-linear models grouped data random e® ects mixed models overdispersion iterative reweighted generalized least squares
2009/2/26
In several applications data are grouped and there are within-group correlations.With continuous data, there are several available models that are often used; with counting data, the Poisson distribut...