4.5 Article

Disease mapping via negative binomial regression M-quantiles

Related references

Note: Only part of the references are listed.
Article Mathematical & Computational Biology

Bayesian semiparametric model with spatially-temporally varying coefficients selection

Bo Cai et al.

STATISTICS IN MEDICINE (2013)

Article Computer Science, Interdisciplinary Applications

Robust quasi-likelihood inference in generalized linear mixed models with outliers

Brajendra C. Sutradhar et al.

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION (2011)

Article Statistics & Probability

Bayesian quantile regression for count data with application to environmental epidemiology

Duncan Lee et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS (2010)

Article Statistics & Probability

Nonparametric M-quantile regression using penalised splines

Monica Pratesi et al.

JOURNAL OF NONPARAMETRIC STATISTICS (2009)

Article Mathematical & Computational Biology

Disease mapping and spatial regression with count data

Jon Wakefield

BIOSTATISTICS (2007)

Article Biology

M-quantile models for small area estimation

Ray Chambers et al.

BIOMETRIKA (2006)

Article Statistics & Probability

Quantiles for counts

JAF Machado et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2005)

Article Environmental Sciences

Space varying coefficient models for small area data

RM Assunçao

ENVIRONMETRICS (2003)

Article Biology

Sensitivity analyses for ecological regression

J Wakefield

BIOMETRICS (2003)

Article Statistics & Probability

Robust inference for generalized linear models

E Cantoni et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2001)