Results 31 to 40 of about 25,561,218 (304)

Randomized quantile residuals for diagnosing zero-inflated generalized linear mixed models with applications to microbiome count data

BMC Bioinformatics, 2021
Background For differential abundance analysis, zero-inflated generalized linear models, typically zero-inflated NB models, have been increasingly used to model microbiome and other sequencing count data.
Wei Bai, Mei Dong, Longhai Li, Cindy Feng, Wei Xu   +4 more
doaj   +1 more source

Zero-Inflated Patent Data Analysis Using Compound Poisson Models

Applied Sciences, 2023
A large part of big data consists of text documents such as papers, patents or articles. To analyze text data, we have to preprocess the text documents and build a structured data based on a document-word matrix using various text mining techniques. This
Sangsung Park, Sunghae Jun
doaj   +1 more source

Tweedie gradient boosting for extremely unbalanced zero-inflated data [PDF]

Communications in Statistics - Simulation and Computation, 2020
Tweedie's compound Poisson model is a popular method to model insurance claims with probability mass at zero and nonnegative, highly right-skewed distribution. In particular, it is not uncommon to have extremely unbalanced data with excessively large proportion of zero claims, and even traditional Tweedie model may not be satisfactory for fitting the ...
He Zhou, Wei Qian, Yi Yang
openaire   +2 more sources

A New Zero-Inflated Negative Binomial Multilevel Model for Forecasting the Demand of Disaster Relief Supplies in the State of Sao Paulo, Brazil

Mathematics, 2022
This article presents the results of the implementation of a forecasting model, to predict the relief materials needed for assisting in decisions prior to natural disasters, thus filling a gap in the exploration of Generalized Linear Mixed Models (GLMM ...
Camila Pareja Yale, Hugo Tsugunobu Yoshida Yoshizaki, Luiz Paulo Fávero   +2 more
doaj   +1 more source

Zero inflated negative binomial-generalized exponential distributionand its applications [PDF]

Songklanakarin Journal of Science and Technology (SJST), 2014
In this paper, we propose a new zero inflated distribution, namely, the zero inflated negative binomial-generalized exponential (ZINB-GE) distribution. The new distribution is used for count data with extra zeros and is an alternative for data analysis
Sirinapa Aryuyuen, Winai Bodhisuwan, Thidaporn Supapakorn   +2 more
doaj  

PENERAPAN REGRESI ZERO INFLATED GENERALIZED POISSON (ZIGP) PADA DATA OVERDISPERSION

E-Jurnal Matematika, 2019
Zero Inflated Generalized Poisson (ZIGP) is a regression model used to analyze Poisson distributed discrete data which contains mostly zero and tends to experience overdispersion (varians value greater than the mean value).
NI WAYAN AMANDA DEWI SULISTYANINGSIH, I KOMANG GDE SUKARSA, NI LUH PUTU SUCIPTAWATI   +2 more
doaj   +1 more source

The impact of leukocyte‐associated RNA retention on platelet RNA‐based cancer detection

Molecular Oncology, EarlyView.
Platelets carry RNA signals that may help detect cancer, but platelet samples can also retain RNA from white blood cells. We found that this retained white blood cell signal did not significantly affect machine learning cancer classification, suggesting that the cancer‐related RNA signal in platelets is largely independent of leukocyte‐associated RNA ...
Michał Sieczczyński, Krzysztof Pastuszak, Anna Samelak‐Czajka, Zuzanna Cemka, Paulina Jackowiak, Tomasz Stefaniak, Sylwia Łapińska‐Szumczyk, Jacek Jassem, Anna J. Żaczek, Matthew T. Rondina, Myron G. Best, Sjors G. J. G. In 't Veld, Anna Supernat   +12 more
wiley   +1 more source

A New Zero–Inflated Regression Model with Applications to Australian Health Survey and Biochemistry Graduate Students Data

Journal of Mathematics
In 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, Mahmoud M. Mansour, Enayat M. Abd Elrazik, Christophe Chesneau, Hazem Al-Mofleh, Ahmed Z. Afify   +5 more
doaj   +1 more source

Zero-inflated beta regressions.

, 2019
Zero-inflated beta regressions.
Mario Negre (6866462), Renzo Massari (6866468), Lodewijk Smets (6866465), Hannes Öhler (6866459), Željko Bogetić (6866471)   +4 more
core   +1 more source

Acute Kidney Injury After Mechanical Thrombectomy for Stroke in Patients With Pre‐Existing Renal Impairment

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Acute kidney injury (AKI) is a common but often underrecognized complication in ischemic stroke patients undergoing mechanical thrombectomy, particularly among those with pre‐existing renal impairment. This study evaluated the incidence, risk factors, and clinical impact of AKI in this high‐risk population.
Michał Borończyk, Marcel Pilarek, Emilia Jaworska, Natalia Kardas, Oliwia Barnaś, Julia Woźniak, Iga Machała, Julia Węgrzynek‐Gallina, Joanna Siuda, Anna Hawrot‐Kawecka, Anetta Lasek‐Bal   +10 more
wiley   +1 more source