Results 41 to 50 of about 12,857 (287)
Asian Journal of Probability and Statistics, 2019 Count data often violate the assumptions of a normal distribution due to the fact that they are bounded by their lowest value which is zero. The Poison distribution is sometimes suggested but when the assumption of equal mean and variance is violated due to over-dispersion and presence of zeros we tend to look in the direction of other models.
R. A. Ipinyomi, M. I. Adarabioyo
openaire +2 more sources
, 2021 Zero-inflated negative binomial regression analysis for the number of intubation and mechanical ventilation days for patients who were admitted in ICU or death.
H. C. M. Donders (9853537) +5 more
core +1 more source
MODELLING ZERO-INFLATED OVER DISPERSED DENGUE DATA VIA ZERO-INFLATED POISSON INVERSE GAUSSIAN REGRESSION MODEL: A CASE STUDY OF BANGLADESH [PDF]
Acta Scientifica MalaysiaBangladesh has been noted for experiencing some of the most susceptible dengue outbreaks in Asia; the country’s location, dense population, and changing environment all play major roles in this.
Sukanta Chakraborty +1 more
doaj +1 more source
Improved shrinkage estimators in zero-inflated negative binomial regression model
Hacettepe Journal of Mathematics and Statistics, 2021 Zero-inflated negative binomial model is an appropriate choice to model count response variables with excessive zeros and over-dispersion simultaneously. This paper addressed parameter estimation in the zero-inflated negative binomial model when there are many parameters, so that some of them have not influence on the response variable. We proposed
Zahra ZANDİ +2 more
openaire +3 more sources
, 2016 Zero-inflated negative binomial multivariable model of decayed-missing-filled teeth (DMFT) score (N = 311).
Stephen S. Dominy (549343) +9 more
core +1 more source
High Health Care Utilization Preceding Diagnosis With Juvenile Idiopathic Arthritis
Arthritis Care &Research, EarlyView.Objective Although early diagnosis improves long‐term outcomes, patients with juvenile idiopathic arthritis (JIA) often experience prolonged, circuitous paths to diagnosis. To inform diagnostic improvement, we sought to characterize health care utilization in the year preceding diagnosis. Methods We identified 10,021 patients with an incident diagnosis
Anna Costello +5 more
wiley +1 more source
Bayesian model selection reveals biological origins of zero inflation in single-cell transcriptomics
Genome Biology, 2020 Background Single-cell RNA sequencing is a powerful tool for characterizing cellular heterogeneity in gene expression. However, high variability and a large number of zero counts present challenges for analysis and interpretation.
Kwangbom Choi +3 more
doaj +1 more source
Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
Advanced Science, EarlyView.In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu +5 more
wiley +1 more source
Journal of MathematicsIn this study, we propose a new zero-inflated regression model as an alternative to zero-inflated regression models, such as the zero-inflated Poisson, zero-inflated negative binomial, zero-inflated hurdle-Poisson, and zero-inflated hurdle negative ...
Caner Tanış +5 more
doaj +1 more source
, 2019 Zero-inflated negative binomial (ZINB) model fit to malaria episode counts per person in urban Mâncio Lima, northwestern Brazil.
Marcelo U. Ferreira (7180982) +3 more
core +1 more source