This paper aims to discuss the Bayesian estimation approach for the zero-inflated cure class of models, which extends the standard cure model by accommodating zero-inflated data in the survival analysis context. A comprehensive simulation study is carried out to assess the performance of the estimation procedure. A new estimation methodology is illustrated using a real dataset related to women diagnosed with invasive cervical cancer in Brazil.
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http://dx.doi.org/10.1080/02664763.2021.1933923 | DOI Listing |
Adv Wound Care (New Rochelle)
January 2025
Rubrum Advising, Fort Washington, Pennsylvania, USA.
Lower-extremity diabetic ulcers (LEDUs) affect more than 500,000 U.S. Medicare beneficiaries each year.
View Article and Find Full Text PDFEnviron Health Perspect
January 2025
Department of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Nevada, Reno, Reno, Nevada, USA.
Background: Coccidioidomycosis, caused by inhalation of spp. spores, is an emerging infectious disease that is increasing in incidence throughout the southwestern US. The pathogen is soil-dwelling, and spore dispersal and human exposure are thought to co-occur with airborne mineral dust exposures, yet fundamental exposure-response relationships have not been conclusively estimated.
View Article and Find Full Text PDFJ Dairy Sci
January 2025
The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, United Kingdom. Electronic address:
This study investigated the genetics of bovine tuberculosis (bTB) infectivity in Holstein-Friesian dairy cows using British national data. The analyses included cows with recorded sires from herds affected by bTB outbreaks between 2000 and 2022. Animals were considered bTB-positive if they reacted positively to the skin test and/or had positive post-mortem findings.
View Article and Find Full Text PDFBrief Bioinform
November 2024
School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, Anhui, China.
Despite significant advancements in single-cell representation learning, scalability and managing sparsity and dropout events continue to challenge the field as scRNA-seq datasets expand. While current computational tools struggle to maintain both efficiency and accuracy, the accurate connection of these dropout events to specific biological functions usually requires additional, complex experiments, often hampered by potential inaccuracies in cell-type annotation. To tackle these challenges, the Zero-Inflated Graph Attention Collaborative Learning (ZIGACL) method has been developed.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Quantitative Methods, School of Business, King Faisal University, Al-Ahsa, Saudi Arabia.
Accurate forecasting of claim frequency in automobile insurance is essential for insurers to assess risks effectively and establish appropriate pricing policies. Traditional methods typically rely on a Poisson distribution for modeling claim counts; however, this approach can be inadequate due to frequent zero-claim periods, leading to zero inflation in the data. Zero inflation occurs when more zeros are observed than expected under standard Poisson or negative binomial (NB) models.
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