The comparative performance of wavelet‐based outbreak detector, exponential weighted moving average, and Poisson regression‐based methods in detection of pertussis outbreaks in Iranian infants: A simulation‐based study
Sign Up to like & getrecommendations! Published in 2020 at "Pediatric Pulmonology"
DOI: 10.1002/ppul.25036
Abstract: Early detection of outbreaks of transmissible diseases is essential for public health. This study aimed to determine the performance of the wavelet‐based outbreak detection method (WOD) in detecting outbreaks and to compare its performance with… read more here.
Keywords: wavelet based; detection; performance wavelet; performance ... See more keywords
Transfer Learning for Error‐Contaminated Poisson Regression Models
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DOI: 10.1002/sim.70163
Abstract: Poisson regression model has been a popular approach to characterize the count response and the covariates. With the rapid development of data collections, the additional source information can be easily recorded. To efficiently use the… read more here.
Keywords: measurement error; transfer learning; error; poisson regression ... See more keywords
Detecting over- and under-dispersion in zero inflated data with the hyper-Poisson regression model
Sign Up to like & getrecommendations! Published in 2017 at "Statistical Papers"
DOI: 10.1007/s00362-015-0683-1
Abstract: The zero inflated hyper-Poisson regression model permits count data to be analysed with covariates that determine different levels of dispersion and that present structural zeros due to the existence of a non-users group. A simulation… read more here.
Keywords: regression model; zero inflated; model; dispersion ... See more keywords
Estimating the Unrestricted and Restricted Liu Estimators for the Poisson Regression Model: Method and Application
Sign Up to like & getrecommendations! Published in 2020 at "Computational Economics"
DOI: 10.1007/s10614-020-10028-y
Abstract: This paper considers both unrestricted and restricted Liu estimators in the presence of multicollinearity for the Poisson regression model. It also considers some new estimators of the shrinkage parameter for both unrestricted and restricted Liu… read more here.
Keywords: liu estimators; regression model; restricted liu; unrestricted restricted ... See more keywords
Reprint of "Modelling the influence of temperature and rainfall on malaria incidence in four endemic provinces of Zambia using semiparametric Poisson regression".
Sign Up to like & getrecommendations! Published in 2017 at "Acta tropica"
DOI: 10.1016/j.actatropica.2017.08.014
Abstract: Although malaria morbidity and mortality are greatly reduced globally owing to great control efforts, the disease remains the main contributor. In Zambia, all provinces are malaria endemic. However, the transmission intensities vary mainly depending on… read more here.
Keywords: poisson regression; semiparametric poisson; endemic provinces; malaria incidence ... See more keywords
Methods for estimating disease transmission rates: Evaluating the precision of Poisson regression and two novel methods
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-09209-x
Abstract: Precise estimates of disease transmission rates are critical for epidemiological simulation models. Most often these rates must be estimated from longitudinal field data, which are costly and time-consuming to conduct. Consequently, measures to reduce cost… read more here.
Keywords: transmission; disease transmission; poisson regression; transmission rates ... See more keywords
A bias-reduced estimator for generalized Poisson regression with application to carbon dioxide emission in Canada
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-24142-0
Abstract: The generalized Poisson regression model (GPRM) provides a flexible framework for modeling count data, especially those exhibiting over- or underdispersion. Although the generalized Poisson maximum likelihood estimator is considered the standard method for estimating the… read more here.
Keywords: carbon dioxide; ridge estimator; generalized poisson; poisson regression ... See more keywords
Enhancing a robust Poisson regression estimator for multicollinear and outliered data: Simulation and application
Sign Up to like & getrecommendations! Published in 2025 at "AIP Advances"
DOI: 10.1063/5.0290412
Abstract: Outliers and multicollinearity represent two significant and overarching challenges in statistical modeling, which can severely compromise the reliability and predictive performance of Poisson regression models. Multicollinearity, the state of high intercorrelations among predictor variables, leads… read more here.
Keywords: methodology; regression; robust poisson; poisson regression ... See more keywords
Modified ridge-type for the Poisson regression model: simulation and application
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2021.1889998
Abstract: The Poisson regression model (PRM) is employed in modelling the relationship between a count variable (y) and one or more explanatory variables. The parameters of PRM are popularly estimated using ... read more here.
Keywords: poisson regression; modified ridge; regression model;
Bayesian poisson regression tensor train decomposition model for learning mortality pattern changes during COVID-19 pandemic
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2024.2411608
Abstract: COVID-19 has led to excess deaths around the world. However, the impact on mortality rates from other causes of death during this time remains unclear. To understand the broader impact of COVID-19 on other causes… read more here.
Keywords: causes death; mortality; regression tensor; model ... See more keywords
Asymptotic results in censored zero-inflated Poisson regression
Sign Up to like & getrecommendations! Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2019.1676442
Abstract: Abstract This paper investigates properties of the maximum-likelihood estimator (MLE) in the zero-inflated Poisson regression model with randomly right-censored counts. Consistency and asymptotic normality of the MLE are rigorously established. A thorough simulation study is… read more here.
Keywords: asymptotic results; zero inflated; results censored; poisson regression ... See more keywords