Results 41 to 50 of about 18,590 (217)

Vine copula knockoffs for variable selection in gene expression studies

Canadian Journal of Statistics, EarlyView.
Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina, Alejandro Román Vásquez, Graciela González Farías, Gabriel Escarela   +3 more
wiley   +1 more source

The Marshall-Olkin Topp Leone-G family of distributions: A family for generalizing probability models

Scientific African, 2020
This paper introduced a family of distributions which is flexible and capable of yielding more robust compound probability models when used in modeling real life events.
Mundher A. Khaleel, Pelumi E. Oguntunde, Jamal N. Al Abbasi, Noor A. Ibrahim, Mohammed H.A. AbuJarad   +4 more
doaj   +1 more source

Nonparametric maximum likelihood estimation of the survival function using current lifetime data

Canadian Journal of Statistics, EarlyView.
Abstract An issue when estimating the failure time survival function is how to set up a prevalent cohort study infrastructure to follow subjects after enrollment. This problem can be circumvented through the well‐known Grenander density estimator using current lifetime observations only.
James H. McVittie, Masoud Asgharian
wiley   +1 more source

A new cosine-based approach for modelling the time-to-event phenomena in sports and engineering sectors

Alexandria Engineering Journal
Data analysis through probability-based methods plays an important role in decision-making in all spheres of life. Probability-based approaches lead to productive decision-making under uncertainty.
Li Jiang, Jin-Taek Seong, Marwan H. Alhelali, Basim S.O. Alsaedi, Fatimah M. Alghamdi, Ramy Aldallal   +5 more
doaj   +1 more source

Z‐residuals diagnostics for Cox models: Functional‐form misspecification versus nonproportional hazards

Canadian Journal of Statistics, EarlyView.
Abstract Primary biliary cholangitis (PBC) is a progressive autoimmune cholestatic disease for which modelling death, with transplantation as a competing event, is clinically important. Cox proportional hazards (PH) models are widely used, but standard diagnostics detect lack of fit without distinguishing non‐PH from misspecified covariate functions ...
Tingxuan Wu, Cindy Feng, Longhai Li
wiley   +1 more source

Exposure‐Response Analyses of Datopotamab Deruxtecan (Dato‐DXd), a TROP2‐Directed Antibody‐Drug Conjugate, in Advanced Non‐small Cell Lung Cancer

Clinical Pharmacology &Therapeutics, EarlyView.
Exposure‐response analyses supported a favorable benefit‐risk profile of Dato‐DXd at 6 mg/kg Q3W in patients with advanced nonsquamous NSCLC. Datopotamab deruxtecan (Dato‐DXd) is a trophoblast cell‐surface antigen‐2 (TROP2)‐directed antibody‐drug conjugate (ADC) that has demonstrated clinical activity in patients with NSCLC who have received prior ...
Ying Hong, Anna M. Mc Laughlin, Yuzhuo Pan, Sofia Friberg Hietala, Sophie Peigné, Michael Chargualaf, Zoey Tang, Diansong Zhou, Naoyuki Tajima, Malaz Abutarif, Tushar Garimella   +10 more
wiley   +1 more source

Probabilistic prediction of rate‐dependent rock strength using natural gradient boosting and Gaussian process regression

Deep Underground Science and Engineering, EarlyView.
Probabilistic natural gradient boosting and Gaussian process regression models accurately predict rate‐dependent rock strength across lithologies. Static strength and strain rate dominate, while geometric factors have minimal influence, enabling interpretable and uncertainty‐aware predictions for dynamic geomechanical applications. Abstract The dynamic
Hadi Fathipour‐Azar
wiley   +1 more source

Bayesian Inference for the Beta-Weibull Distribution with Applications to Cancer and Under-nutrition Data

Journal of Statistical Theory and Applications (JSTA)
The Weibull probability distribution is known to model data from many application areas such as health science, biological science, engineering, finance, economy and education.
Fekade Getabil Habtewold, Ayele Taye Goshu, Butte Gotu Arero   +2 more
doaj   +1 more source

Parameter Estimation of Generalized Modified Weibull Using the Maximum Likelihood on Simulation and Real-World Data

Jambura Journal of Mathematics
This study estimates parameters of the generalized modified Weibull (GM Weibull) distribution using the Maximum Likelihood Estimation (MLE) method with the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm.
Muhammad Luthfi Setiarno Putera, Purhadi Purhadi   +1 more
doaj   +1 more source

Energy evolution‐based damage quantification and failure prediction of fault zone tunnel lining concrete: A novel acoustic emission–strain energy coupling approach

Deep Underground Science and Engineering, EarlyView.
This study investigates the damage evolution and failure mechanisms of tunnel lining concrete in active fault zones through uniaxial compression tests integrated with acoustic emission (AE) monitoring. A strong linear correlation is identified between the AE cumulative absolute energy and the total strain energy, providing a reliable energy‐based ...
Shuaida Zhu, Dongming Zhang, Mingliang Zhou, Shengjun Duo, Hongwei Huang   +4 more
wiley   +1 more source