21 papers · ranked by Valyu relevance
John R. Doyle, Paul A. Bottomley, Luca Paolo Ardigò
Many disciplines of scholarship are interested in the Relative Age Effect (RAE), whereby age-banding confers advantages on older members of the cohort over younger ones. Most research does not test this relationship in a manner consistent with theory (which requires a decline in frequency across the cohort year)…
Gustavo A. Fernandez, Kristina P. Vatcheva
Background Hospital length of stay (LOS) is a key indicator of hospital care management efficiency, cost of care, and hospital planning. Hospital LOS is often used as a measure of a post-medical procedure outcome, as a guide to the benefit of a treatment of interest, or as an important risk factor for adverse events.…
Toha Saifudin, Nur Chamidah, Nur Azizah, Fayza Shafira Renianti + 3 more
Title: The highlights of this research are 1. • Count data modeling was initiated using Poisson regression, and overdispersion was tested to justify the use of NBR. 2. • Spatial dependence and heterogeneity were tested using Moran’s I and Breusch-Pagan tests, followed by localized modeling with GWNBR. 3. • Model…
Sischa Wahyuning Tyas, Gunardi, Lila Aryani Puspitasari
This study proposes a Geographically Weighted Generalized Poisson Regression (GWGPR) model with the best kernel function to obtain a model of the number of postpartum maternal mortality in East Java Province in 2020 and determine the factors that affect the number of maternal postpartum mortality in East Java in 2020.…
Adewale F. Lukman, Emmanuel Adewuyi, Kristofer Månsson, B. M. Golam Kibria
'B. M. Golam Kibria'] The maximum likelihood estimator (MLE) suffers from the instability problem in the presence of multicollinearity for a Poisson regression model (PRM). In this study, we propose a new estimator with some biasing parameters to estimate the regression coefficients for the PRM when there is…
Darnah, Memi Nor Hayati, Sri Wahyuningsih, Iriyani Kamaruddin + 10 more
'Suyitno' 'Andrea Tri Rian Dani' 'Rito Goejantoro' 'Desi Yuniarti' 'Fidia Deny Tisna Amijaya' 'Ika Purnamasari' 'Meiliyani Siringoringo' 'Surya Prangga' 'Ratna Kusuma' 'Rahmawati Munir'] We introduce a new multi-predictor regression model based on the Poisson distribution using a local linear approach called the local…
M. Bonamente
> Abstract: This paper presents the application of a new semi—analytical method of linear regression for Poisson count data to COVID-19 events. The regression is based on the Bonamente and Spence (2022) maximum– likelihood solution for the best–fit parameters, and this paper introduces a simple analytical solution for…
Cindy Feng, Longhai Li, Alireza Sadeghpour
Background Examining residuals is a crucial step in statistical analysis to identify the discrepancies between models and data, and assess the overall model goodness-of-fit. In diagnosing normal linear regression models, both Pearson and deviance residuals are often used, which are equivalently and approximately…
Massimiliano Bonamente, Yang Chen, Dale L. Zimmerman
the physical sciences: I. Methodology and goodness-of-fit statistic of Poisson data Authors: ['Massimiliano Bonamente' 'Yang Chen' 'Dale L. Zimmerman'] The paper presents a new statistical method that enables the use of systematic errors in the maximum–likelihood regression of integer–count Poisson data to a parametric…
Denis Talbot, Miceline Mésidor, Yohann Chiu, Marc Simard + 1 more
'Caroline Sirois'] Affiliations : Département de médecine sociale et préventive, Université Laval, Québec, Québec, Canada (Denis Talbot, Miceline Mésidor, Marc Simard); Unité santé des populations et pratiques optimales en santé, CHU de Québec – Université Laval research center, Québec, Québec, Canada (Denis Talbot…
Taeho Kim, Benjamin Lieberman, George Luta, Edsel A. Peña
Motivated by the current Coronavirus Disease (COVID-19) pandemic, which is due to the SARS-CoV-2 virus, and the important problem of forecasting daily deaths and cumulative deaths, this paper examines the construction of prediction regions or intervals under the Poisson regression model and for an over-dispersed…
Sean Bellew, Ian Flint, Yan Wang
Poisson processes have become a prominent tool in species distribution modelling when analysing citizen science data based on presence records. This study examines four distinct statistical approaches, each of which utilises a different approximation to fit a Poisson point process. These include two Poisson regressions…
Jarod Y. L. Lee, Peter J. Green, Louise Ryan
This article is concerned with the fitting of multinomial regression models using the so-called "Poisson Trick". The work is motivated by Chen & Kuo (2001) and Malchow-Møller & Svarer (2003) which have been criticized for being computationally inefficient and sometimes producing nonsense results. We first discuss the…
Babagnidé François Koladjo, Ricardo Anderson Donte, Epiphane Sodjinou
In this paper, we investigate right-truncated count data models incorporating covariates into the parameters. A regression method is proposed to model right-truncated count data exhibiting high heterogeneity. The study encompasses the formulation of the proposed model, parameter estimation using an Expectation…
Eduardo E. Ribeiro, Walmes M. Zeviani, Wagner Hugo Bonat, Clarice Garcia Borges Demétrio + 1 more
'Clarice Garcia Borges Demétrio' 'John Hinde'] Abstract: In the analysis of count data often the equidispersion assumption is not suitable, hence the Poisson regression model is inappropriate. As a generalization of the Poisson distribution the COM-Poisson distribution can deal with under-, equi- and overdispersed…
Xinyu Wang, Youming Li, Chen Jia
Stochastic gene expression dynamics can be modeled either discretely or continuously. Previous studies have shown that the mRNA or protein number distributions of some simple discrete and continuous gene expression models are related by Gardiner’s Poisson representation. Here we systematically investigate the Poisson…
Shinichi Nakagawa, Paul C. D. Johnson, Holger Schielzeth
The coefficient of determination R^2^ quantifies the proportion of variance explained by a statistical model and is an important summary statistic of biological interest. However, estimating R^2^ for generalized linear mixed models (GLMMs) remains challenging. We have previously introduced a version of R^2^ that we…
Mohamed Y. Hassan
In this study, we propose an Equi-Under-dispersed Poisson distribution derived from a finite mixture of weighted Poisson distributions. This probability distribution is a simple, parsimonious, and flexible option suitable for modeling under-dispersed count data. It aims to overcome some of the weaknesses of existing…
Niklas Hohmann
In this paper, a test for hypotheses on population dynamics is presented alongside an implementation of said test for R. The test is based on the assumption that the sample, consisting of points on a time axis, is a realization of a Poisson point process (PPP). There are no restrictions on the shapes of the rate…
Christoph F. Kurz, Laura A. Hatfield
Inpatient care is a large share of total health care spending, making analysis of inpatient utilization patterns an important part of understanding what drives health care spending growth. Common features of inpatient utilization measures such as length of stay and spending include zero inflation, over-dispersion, and…
Authors not listed
The screening of chemical libraries is an essential starting point in the drug discovery process. While some researchers desire a more thorough screening of drug targets against a narrower scope of molecules, it is not uncommon for diverse screening sets to be favored during early stages of drug discovery. However, a…