Results 231 to 240 of about 526,028 (331)

Missing Data Imputation for Ordinal Data

International Journal of Computer Applications, 2018
Aera LeBoulluec, Maryuri Quintero
openaire   +1 more source

Stiripentol use in Dravet syndrome patients in the USA: Results of a real‐world study

Epilepsia Open, EarlyView.
Abstract Objective Dravet syndrome (DS) is a severe developmental and epileptic encephalopathy with a high seizure burden and mortality risk. Stiripentol, one of the first DS‐specific therapies, received FDA approval in 2018 but its real‐world use and impact post‐approval in the USA remain insufficiently characterized.
Elaine Wirrell, James Wheless, Michael Scott Perry, Linda Laux, Karen C. Keough, Julie Ziobro, Aimee F. Luat, Gewalin Aungaroon, Michael A. Ciliberto, Roxane Noel, Laurent Chancharme, Joseph Sullivan   +11 more
wiley   +1 more source

Time‐ and State‐Dependent Damage Accumulation Due to Aftershocks Under an M9.0 Megathrust Earthquake in the Cascadia Subduction Zone

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT This study develops a comprehensive framework for assessing time and state‐dependent aftershock damage accumulation under an M9.0 megathrust interface earthquake in the Cascadia Subduction Zone (CSZ). The framework integrates aftershock probabilistic seismic hazard analysis (APSHA) and state‐dependent fragility analysis (SDFA) within a ...
Hongzhou Zhang, Yazhou Xie
wiley   +1 more source

Pursuing Precision in Criminology: Why Ordinal Data Demand Ordinal Methods

Jonathan R. Brauer, Jacob C. Day
openalex   +2 more sources

Loss of the Y Chromosome in Oral Potentially Premalignant Disorders Predicts Malignant Progression: An Integrative Cross‐Species Multi‐Cohort Bioinformatic Study

Head &Neck, EarlyView.
ABSTRACT Background The loss of the Y chromosome (LOY) and the extreme down‐regulation of Y chromosome gene expression (EDY) are frequently observed in oral squamous cell carcinoma (OSCC). However, their roles in oral potentially malignant disorders (OPMDs) are unclear.
Rui Han, Jos B. Poell, Cristina Conde‐Lopez, Tuula Salo, Ina Kurth, Ruud H. Brakenhoff, Jochen Hess   +6 more
wiley   +1 more source

Unfolding models for ordinal data in cyber risk assessment

, 2021
Facchinetti, S., Tarantola, C.
openalex   +1 more source

Greater Attention to Gingival Cancer and Floor of Mouth Cancer: Based on a Retrospective Analysis of Oral Cancer Across Different Subsites

Head &Neck, EarlyView.
ABSTRACT Background The gingiva and floor of the mouth are distinct subsites, and oral squamous cell carcinoma (OSCC) originating in these locations warrants further indepth understanding. Methods This study enrolled patients with OSCC from 2000 to 2020, and analyzed the clinicopathological characteristics.
Hao Li, Yi Ding, Yansheng Wu, Yan Fang, Xinhua Li, Weifeng Shi, Shaoshi Chen, Ailin Yang, Jin Zhang, Ruoyu Shi, Chao Jing, Xudong Wang, Yuansheng Duan   +12 more
wiley   +1 more source

Flexible marginalized models for bivariate longitudinal ordinal data. [PDF]

Biostatistics, 2013
Lee K, Daniels MJ, Joo Y.
europepmc   +1 more source

Unification of Numerical and Ordinal Survey Data for Clustering-based Inferencing

, 2023
Bhupendera Kumar, Rajeev Kumar
openalex   +1 more source

Impact of lung cancer screening eligibility criteria on participants' characteristics and healthcare resources

International Journal of Cancer, EarlyView.
What's New? Inclusion criteria for lung cancer screening (LCS) maintain cost control by focusing resources on select high‐risk groups. However, eligible individuals are inherently dissimilar in risk profile and demographics, potentially impacting LCS effectiveness and uptake.
María Olivia Cabrera, Kevin ten Haaf, Josep Maria Borràs, Rebeca Font, Judit Solà, Juul Hubert, Mónica Ballesteros, Josep Alfons Espinàs   +7 more
wiley   +1 more source