Results 71 to 80 of about 540,910 (340)

ZERO INFLATED NEGATIVE BINOMIAL MODELS IN SMALL AREA ESTIMATION [PDF]

open access: yes, 2008
The problem of over-dispersion in Poisson data is usually solved by introducing prior distributions which lead to negative binomial models. Poisson data sometime is also suffered by excess zero problems, a condition when data contains too many zero or ...
Indahwati, Indahwati   +2 more
core  

Calculation of solvency capital requirements for non-life underwriting risk using generalized linear models [PDF]

open access: yes, 2017
The paper presents various GLM models using individual rating factors to calculate the solvency capital requirements for non-life underwriting risk in insurance.
Andrade-Silva   +10 more
core   +1 more source

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu   +10 more
wiley   +1 more source

Risk Factors Preventing Immediate Fall Detection: A Study Using Zero-Inflated Negative Binomial Regression

open access: yesAsian Nursing Research, 2021
Purpose: Falls are the most common accidents in healthcare facilities, and timely intervention can have a positive effect on the hazards and trauma experienced by patients after a fall. This study determined the factors affecting the time taken to detect
Kyung Jin Hong, Jieun Kim
doaj   +1 more source

LOXHD1 and RHOB Expression by Monocytes Predicts Progressive Systemic Sclerosis associated Interstitial Lung Disease

open access: yesArthritis Care &Research, Accepted Article.
Objective A leading cause of death among scleroderma (SSc) patients, interstitial lung disease (ILD) remains challenging to prognosticate. The discovery of biomarkers that accurately determine which patients would benefit from close monitoring and aggressive therapy would be an essential clinical tool.
Cristina M Padilla   +13 more
wiley   +1 more source

Modeling tuberculosis in children under five using poisson and negative binomial regression

open access: yesDesimal
Tuberculosis is an infectious disease caused by Mycobacterium tuberculosis. Indonesia is the country with the second highest number of tuberculosis cases after India.
Ahmad Fajri   +3 more
doaj   +1 more source

Estimating the impacts of lockdown on Covid-19 cases in Nigeria

open access: yesTransportation Research Interdisciplinary Perspectives, 2020
The study examines the extent to which lockdown measures impact on COVID-19 confirmed cases in Nigeria. Six indicators of lockdown entailing retail and recreation, grocery and pharmacy, parks, transit stations, workplaces, and residential, are considered.
Kazeem Bello Ajide   +2 more
doaj   +1 more source

NEGATIVE BINOMIAL REGRESSION METHODS TO ANALYZE FACTORS AFFECTING CHILD MORTALITY RATES IN WEST JAVA [PDF]

open access: yes, 2015
Data on the number of child mortality cases are discrete data (count) which are usually analyzed with Poisson regression. The characteristics of the Poisson regression mean and variance must be the same, whereas in fact the count data is often becoming ...
Anang Kurnia, .   +2 more
core  

Consistency of $\ell _{1}$ Penalized Negative Binomial Regressions

open access: yes, 2020
We prove the consistency of the $\ell_1$ penalized negative binomial regression (NBR). A real data application about German health care demand shows that the $\ell_1$ penalized NBR produces a more concise but more accurate model, comparing to the classical NBR.
Xie, Fang, Xiao, Zhijie
openaire   +3 more sources

Spatial modeling of confirmed COVID-19 pandemic in East Java province by geographically weighted negative binomial regression

open access: yes, 2020
In East Java, 11,910 confirmed incidences for COVID-19 were registered as of 30 June 2020. We propose a Geographically Weighted Negative Binomial Regression (GWNBR) model to evaluate the effect of population density and daily average temperature on COVID-
Rinda Fitriani, I. Jaya
semanticscholar   +1 more source

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