نتایج جستجو برای: proportional hazard model phm

تعداد نتایج: 2193239  

Journal: :International Journal of Prognostics and Health Management 2020

2016
Jae-Hyun Kim Sang Gyu Lee Tae-Hyun Kim Young Choi Yunhwan Lee Eun-Cheol Park

The objective of this study was to investigate the impact of social engagement and patterns of change in social engagement over time on mortality in a large population, aged 45 years or older. Data from the Korean Longitudinal Study of Aging from 2006 and 2012 were assessed using longitudinal data analysis. We included 8,234 research subjects at baseline (2006). The primary analysis was based o...

Journal: :Dalton transactions 2018
A Baumann E Yalçıntaş X Gaona R Polly K Dardenne T Prüßmann J Rothe M Altmaier H Geckeis

The solubility of 99Tc(iv) was investigated in dilute to concentrated carbonate solutions (0.01 M ≤ Ctot≤ 1.0 M, with Ctot = [HCO3-] + [CO32-]) under systematic variation of ionic strength (I = 0.3-5.0 M NaHCO3-Na2CO3-NaCl-NaOH) and pHm (-log[H+] = 8.5-14.5). Strongly reducing conditions (pe + pHm≈ 2) were set with Sn(ii). Carbonate enhances the solubility of Tc(iv) in alkaline conditions by up...

2014
Yuhua Zhang Zhiming Hu Weiding Wu Jie Liu Defei Hong Chengwu Zhang

Malignant melanoma is an extremely aggressive cancer arising from melanocytes, associated with the development of metastases in up to 20% of patients. Although the liver is a frequent metastatic site of malignant melanoma, primary hepatic melanoma (PHM) is rare. The treatment of PHM is controversial, and the prognosis for affected patients remains poor. We present two PHM patients who underwent...

2009
Govert E. Bijwaard Geert Ridder

A Simple GMM Estimator for the Semi-Parametric Mixed Proportional Hazard Model Ridder and Woutersen (2003) have shown that under a weak condition on the baseline hazard there exist root-N consistent estimators of the parameters in a semiparametric Mixed Proportional Hazard model with a parametric baseline hazard and unspecified distribution of the unobserved heterogeneity. We extend the Linear ...

2016
Benjamin Y. Choo Stephen C. Adams Brian A. Weiss Jeremy A. Marvel Peter A. Beling

The Adaptive Multi-scale Prognostics and Health Management (AM-PHM) is a methodology designed to enable PHM in smart manufacturing systems. In application, PHM information is not yet fully utilized in higher-level decision-making in manufacturing systems. AM-PHM leverages and integrates lower-level PHM information such as from a machine or component with hierarchical relationships across the co...

2015
Benjamin Y. Choo Peter A. Beling Amy E. LaViers Jeremy A. Marvel Brian A. Weiss

Adaptive multiscale prognostics and health management (AM-PHM) is a methodology designed to support PHM in smart manufacturing systems. As a rule, PHM information is not used in high-level decision-making in manufacturing systems. AM-PHM leverages and integrates component-level PHM information with hierarchical relationships across the component, machine, work cell, and production line levels i...

Journal: :Journal of the American Society of Nephrology : JASN 2009
Christos Argyropoulos Chung-Chou H Chang Laura Plantinga Nancy Fink Neil Powe Mark Unruh

The association of hemodialysis dosage with patient survival is controversial. Here, we tested the hypothesis that methods for survival analysis may influence conclusions regarding dialysis dosage and mortality. We analyzed all-cause mortality by proportional hazards and accelerated failure time regression models in a cohort of incident hemodialysis patients who were followed for 9 yr. Both mod...

2014
Wolfgang Hess Gerhard Tutz Jan Gertheiss

This paper proposes a discrete-time hazard regression approach based on the relation between hazard rate models and excess over threshold models, which are frequently encountered in extreme value modelling. The proposed duration model employs a exible link function and incorporates the grouped-duration analogue of the wellknown Cox proportional hazards model and the proportional odds model as s...

2016
Janez Stare Delphine Maucort-Boulch

Odds ratio (OR) is a statistic commonly encountered in professional or scientific medical literature. Most readers perceive it as relative risk (RR), although most of them do not know why that would be true. But since such perception is mostly correct, there is nothing (or almost nothing) wrong with that. It is nevertheless useful to be reminded now and then what is the relation between the rel...

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