Results 11 to 20 of about 1,415,363 (344)

Reliability Evaluation and Prediction Method with Small Samples

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences, 2023
How to accurately evaluate and predict the degradation state of the components with small samples is a critical and practical problem. To address the problems of unknown degradation state of components, difficulty in obtaining relevant environmental data
Hongyan Dui, Xinghui Dong, Junyong Tao
doaj   +1 more source

Bivariate Cox models and copulas [PDF]

open access: yesProceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2012
This paper introduces a new class of Cox models for dependent bivariate data. The impact of the covariate on the dependence of the variables is captured through the modification of their copula. Various classes of well known copulas are stable under the model (archimedean type and extreme value copulas), meaning that the role of the covariate acts in a
M. Achibi   +3 more
openaire   +3 more sources

Differences Between Cancer-Specific Survival of Patients With Anaplastic and Primary Squamous Cell Thyroid Carcinoma and Factors Influencing Prognosis: A SEER Database Analysis

open access: yesFrontiers in Endocrinology, 2022
PurposeAnaplastic thyroid carcinoma (ATC) and primary squamous cell carcinoma of the thyroid (PSCCTh) have similar histological findings and are currently treated using the same approaches; however, the characteristics and prognosis of these cancers are ...
Shuai Jin   +6 more
doaj   +1 more source

Leisure-Time Physical Activity and Cardiovascular Disease Risk Among Hypertensive Patients: A Longitudinal Cohort Study

open access: yesFrontiers in Cardiovascular Medicine, 2021
Objective: Few studies estimated the effect of leisure-time physical activity (LTPA) on cardiovascular disease (CVD) risk among hypertensive patients in a longitudinal cohort.
Jiqing Li   +6 more
doaj   +1 more source

The Hazard Model for European SMEs: Combining Accounting and Macroeconomic Variables

open access: yesJournal of Competitiveness, 2022
Predicting the default of small and medium-sized businesses (SMEs) using the hazard model approach represents an area relatively neglected by mainstream literature.
Michal Karas
doaj   +1 more source

SURVIVAL ANALYSIS FOR RECURRENT EVENT DATA USING COUNTING PROCESS APPROACH: APPLICATION TO DIABETICS

open access: yesMedia Statistika, 2023
Survival analysis is a branch of statistics for analyzing the duration of time until one or more events occur. Time to recurrence of diabetics including survival data. Diabetes can’t be cured but it can be controlled.
Triastuti Wuryandari, Yuciana Wilandari
doaj   +1 more source

Ten-year predictors of major adverse cardiovascular events in patients without angina

open access: yesSouth African Family Practice, 2023
Background: Longstanding cardiovascular risk factors cause major adverse cardiovascular events (MACE). Major adverse cardiovascular events prediction may improve outcomes. The aim was to evaluate the ten-year predictors of MACE in patients without angina.
Preesha Premsagar   +2 more
doaj   +1 more source

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

open access: yesIEEE 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   +3 more
doaj   +1 more source

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

open access: yesGenomics & 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

On Cox proportional hazards model performance under different sampling schemes.

open access: yesPLoS 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

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