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On estimation and influence diagnostics for zero-inflated negative binomial regression models
(ELSEVIER SCIENCE BV, 2011)
The zero-inflated negative binomial model is used to account for overdispersion detected in data that are initially analyzed under the zero-Inflated Poisson model A frequentist analysis a jackknife estimator and a ...
The log-Weibull-negative-binomial regression model under latent failure causes and presence of randomized activation schemes
(Taylor and FrancisPhiladelphia, 2015-08)
The purpose of this paper is to develop a Bayesian approach for the log-Weibull-negative-binomial regression
model under latent failure causes and presence of a randomized activation mechanism. We assume
the number of ...
The power-Cauchy negative-binomial: properties and regression
(BioMed Central, 2018)
Abstract
We propose and study a new compounded model to extend the half-Cauchy and power-Cauchy distributions, which offers more flexibility in modeling lifetime data. The proposed model is analytically ...
The negative binomial-beta Weibull regression model to predict the cure of prostate cancer
(TAYLOR & FRANCIS LTDABINGDON, 2012)
In this article, for the first time, we propose the negative binomial-beta Weibull (BW) regression model for studying the recurrence of prostate cancer and to predict the cure fraction for patients with clinically localized ...
The impact of climate on Leptospirosis in Sao Paulo, Brazil
(SPRINGERNEW YORK, 2012)
In this work, we correlate the daily number of human leptospirosis cases with several climatic factors. We used a negative binomial model that considers hospital daily admissions due to leptospirosis as the dependent ...
The log-Weibull-negative-binomial regression model under latent failure causes and presence of randomized activation schemes
(Taylor and FrancisPhiladelphia, 2015)
Bayesian Estimation And Case Influence Diagnostics For The Zero-inflated Negative Binomial Regression Model
(Taylor and Francis Ltd., 2015)
Clustering of psychiatric and somatic illnesses in the general population: multimorbidity and socioeconomic correlates
(Associação Brasileira de Divulgação Científica, 2010-05-01)
The distribution of psychiatric disorders and of chronic medical illnesses was studied in a population-based sample to determine whether these conditions co-occur in the same individual. A representative sample (N = 1464) ...
Clustering of psychiatric and somatic illnesses in the general population: multimorbidity and socioeconomic correlates
(Associação Brasileira de Divulgação Científica, 2010)
The distribution of psychiatric disorders and of chronic medical illnesses was studied in a population-based sample to determine whether these conditions co-occur in the same individual. A representative sample (N = 1464) ...
Multivariate models for correlated count data
(Taylor & Francis LtdAbingdonInglaterra, 2013)