Results 21 to 30 of about 301,324 (265)

A Goodness-of-Fit Test for Log-Linearity in Cox Proportional Hazards Model Under Monotonic Covariate Effects

open access: yesMathematics
The Cox proportional hazards (PH) model is widely used because it models the covariates to the hazard through a log-linear effect. However, exploring flexible effects becomes desirable within the Cox PH framework when only a monotonic relationship ...
Huan Chen, Chuan-Fa Tang
doaj   +1 more source

Partial Cointegrated Vector Autoregressive Models with Structural Breaks in Deterministic Terms

open access: yesEconometrics, 2019
This paper proposes a class of partial cointegrated models allowing for structural breaks in the deterministic terms. Moving-average representations of the models are given. It is then shown that, under the assumption of martingale difference innovations,
Takamitsu Kurita, Bent Nielsen
doaj   +1 more source

An innovative approach to partial discharge measurement and analysis in DC insulation systems during voltage transient and in steady state

open access: yesHigh Voltage, 2021
Measuring partial discharges in DC insulation systems is an issue due to the lack of a reference relating the voltage waveform to the physics of discharge phenomena.
Gian Carlo Montanari, Riddhi Ghosh
doaj   +1 more source

A new tumor-associated antigen prognostic scoring system for spontaneous ruptured hepatocellular carcinoma after partial hepatectomy

open access: yesCancer Biology & Medicine, 2018
Objective: Spontaneous hepatocellular carcinoma (HCC) rupture can be fatal, and hepatic resection could achieve a favorable long-term survival among all strategies of tumor rupture.
Jingjing Wu   +9 more
doaj   +1 more source

ANALISIS SURVIVAL DENGAN COX PROPORTIONAL HAZARD PADA KASUS DEMAM TIFOID

open access: yesMajalah Ilmiah Matematika dan Statistika, 2022
A common problem found in survival data is the presence of censored data. The length of hospitalization of Typhoid fever patients until declared cured is one of example of this data. Here, we use Cox regression model to analysis this data.
Nurul Azizah Baisaku   +2 more
doaj   +1 more source

Partial mixture model for tight clustering of gene expression time-course

open access: yesBMC Bioinformatics, 2008
Background Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively loose correlations should be excluded from the clusters.
Li Chang-Tsun   +2 more
doaj   +1 more source

Theory of Partial Likelihood

open access: yesThe Annals of Statistics, 1986
This paper develops the asymptotic theory: consistency and asymptotic normality for estimators of a parameter \(\theta\) based upon partial likelihood or conditional likelihood in a rather general setting. It includes most of the results obtained in this area, among them we can quote \textit{J. D. Kalbfleisch} and \textit{D. A. Sprott} [J. R. Stat. Soc.
openaire   +2 more sources

Partial trisomy 9: prenatal diagnosis and recurrence within same family

open access: yesClinical Case Reports, 2017
Key Clinical Message Trisomy 9 can be suspected and confirmed in the prenatal period since the 11–13.6 weeks of screening. In cases of partial trisomy 9, the diagnosis is important especially to counseling the couple due to the increased likelihood of ...
Jana López‐Félix   +7 more
doaj   +1 more source

Bayesian Inference in Auditing with Partial Prior Information Using Maximum Entropy Priors

open access: yesEntropy, 2018
Problems in statistical auditing are usually one⁻sided. In fact, the main interest for auditors is to determine the quantiles of the total amount of error, and then to compare these quantiles with a given materiality fixed by the auditor, so that ...
María Martel-Escobar   +2 more
doaj   +1 more source

Adopting New Machine Learning Approaches on Cox’s Partial Likelihood Parameter Estimation for Predictive Maintenance Decisions

open access: yesMachines
The Proportional Hazards Model (PHM) under a Condition-Based Maintenance (CBM) policy is used by asset-intensive industries to predict failure rate, reliability function, and maintenance decisions based on vital covariates data.
David R. Godoy   +4 more
doaj   +1 more source

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