Results 11 to 20 of about 614,587 (286)

Sub-series 2: Publications

, 2000
Bimonthly magazine discussing topics related to aviation and model airplane engines including collecting, restoring, maintaining, and identifying engines, along with ...
The Model Museum, Dannels, Timothy J.
core   +5 more sources

Sub-series 2: Publications

, 2003
Bimonthly magazine discussing topics related to aviation and model airplane engines including collecting, restoring, maintaining, and identifying engines, along with ...
The Model Museum, Dannels, Timothy J.
core   +6 more sources

Sub-series 2: Publications

, 2001
Bimonthly magazine discussing topics related to aviation and model airplane engines including collecting, restoring, maintaining, and identifying engines, along with ...
The Model Museum, Dannels, Timothy J.
core   +5 more sources

Adaptive Elastic Net Based on Modified PSO for Variable Selection in Cox Model With High-Dimensional Data: A Comprehensive Simulation Study

IEEE Access, 2023
In contemporary research, high-dimensional data has become more popular in many scientific fields with the rapid advancement of technology in collecting and storing large datasets.
Nuriye Sancar, Efe Precious Onakpojeruo, Deniz Inan, Dilber Uzun Ozsahin   +3 more
doaj   +1 more source

Model Uncertainty Quantification in Cox Regression

Biometrics, 2023
Abstract We consider covariate selection and the ensuing model uncertainty aspects in the context of Cox regression. The perspective we take is probabilistic, and we handle it within a Bayesian framework. One of the critical elements in variable/model selection is choosing a suitable prior for model parameters.
Gonzalo García-Donato, Stefano Cabras, María Eugenia Castellanos   +2 more
openaire   +5 more sources

Review of statistical methods for survival analysis using genomic data [PDF]

Genomics & Informatics, 2019
Survival analysis mainly deals with the time to event, including death, onset of disease, and bankruptcy. The common characteristic of survival analysis is that it contains “censored” data, in which the time to event cannot be completely observed, but ...
Seungyeoun Lee, Heeju Lim
doaj   +1 more source

Metalworking fluids and cancer mortality in a US autoworker cohort (1941–2015)

Scandinavian Journal of Work, Environment & Health, 2020
OBJECTIVES: This report describes the extended follow-up (1941–2015) of a cohort of 38 549 automobile manufacturing workers with potential exposure to metalworking fluids (MWF).
Sadie Costello, Kevin Chen, Sally Picciotto, Liza Lutzker, Ellen Eisen   +4 more
doaj   +1 more source

On Cox proportional hazards model performance under different sampling schemes.

PLoS ONE, 2023
Cox's proportional hazards model (PH) is an acceptable model for survival data analysis. This work investigates PH models' performance under different efficient sampling schemes for analyzing time to event data (survival data). We will compare a modified
Hani Samawi, Lili Yu, JingJing Yin
doaj   +2 more sources

Machine Learning Predictive Models for Survival in Patients with Brain Stroke [PDF]

Health Promotion Perspectives
Background: This study aims to harness the predictive power of machine learning (ML) algorithms for accurately predicting mortality and survival outcomes in brain stroke (BS) patients.
Solmaz Norouzi, Samira Ahmadi, Shayeste Alinia, Farshid Farzipoor, Azadeh Shahsavari, Ebrahim Hajizadeh, Mohammad Asghari Jafarabadi   +6 more
doaj   +1 more source

Parsimonious modelling of winter season rainfall incorporating reanalysis climatological data

Hydrology Research, 2018
Several Markov modulated Poisson process (MMPP) models are developed to describe winter season rainfall with parsimonious parameter use. We propose a methodology for determining the best form of seasonal model for fine-scale rainfall within a MMPP ...
Andrew P. Garthwaite, N. I. Ramesh
doaj   +1 more source