Results 31 to 40 of about 1,308,057 (281)

Adjusted empirical likelihood analysis of restricted mean survival time for length-biased data [PDF]

open access: yesJournal of Mahani Mathematical Research
The Restricted Mean Survival Time (RMST) serves as a valuable and extensively utilized metric in clinical trials. However, its application becomes intricate when dealing with data affected by length-biased sampling, rendering traditional inference ...
Zahra Mohammadian, Arezoo Habibi
doaj   +1 more source

Regenerative block empirical likelihood for Markov chains

open access: yes, 2011
Empirical likelihood is a powerful semi-parametric method increasingly investigated in the literature. However, most authors essentially focus on an i.i.d. setting.
Harari-Kermadec, Hugo
core   +2 more sources

Joint Statistical Inference for the Area under the ROC Curve and Youden Index under a Density Ratio Model

open access: yesMathematics
The receiver operating characteristic (ROC) curve is a valuable statistical tool in medical research. It assesses a biomarker’s ability to distinguish between diseased and healthy individuals.
Siyan Liu   +3 more
doaj   +1 more source

Adjusted Empirical Likelihood for Long-memory Time Series Models

open access: yes, 2016
Empirical likelihood method has been applied to short-memory time series models by Monti (1997) through the Whittle's estimation method. Yau (2012) extended this idea to long-memory time series models. Asymptotic distributions of the empirical likelihood
Gamage, Ramadha D. Piyadi   +2 more
core   +1 more source

Adjusted empirical likelihood with high-order precision [PDF]

open access: yes, 2010
Empirical likelihood is a popular nonparametric or semi-parametric statistical method with many nice statistical properties. Yet when the sample size is small, or the dimension of the accompanying estimating function is high, the application of the ...
Chen, Jiahua, Liu, Yukun
core   +2 more sources

Weighted Graph-Based Two-Sample Test via Empirical Likelihood

open access: yesMathematics
In network data analysis, one of the important problems is determining if two collections of networks are drawn from the same distribution. This problem can be modeled in the framework of two-sample hypothesis testing.
Xiaofeng Zhao, Mingao Yuan
doaj   +1 more source

‘They Need to Hear You Say It’: Healthcare Professionals’ Perspectives on Barriers and Enablers to End‐of‐Life Discussions With Adolescents and Young Adults With Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT End‐of‐life conversations with adolescents and young adults (AYAs) with cancer rarely occur without the guidance of healthcare professionals. As a part of the ‘Difficult Discussions’ study, focused on palliative care and advance care planning discussions with AYAs with cancer, we investigated the factors that healthcare professionals identify ...
Justine Lee   +9 more
wiley   +1 more source

Weak Identification Robust Tests for Subvectors Using Implied Probabilities

open access: yesEntropy
This paper develops tests for hypotheses concerning subvectors of parameters in models defined by moment conditions. It is well known that conventional tests such as Wald, Likelihood-ratio and Score tests tend to over-reject when the identification is ...
Marine Carrasco, Saraswata Chaudhuri
doaj   +1 more source

A Euclidean likelihood estimator for bivariate tail dependence [PDF]

open access: yes, 2012
The spectral measure plays a key role in the statistical modeling of multivariate extremes. Estimation of the spectral measure is a complex issue, given the need to obey a certain moment condition.
de Carvalho, Miguel   +3 more
core   +2 more sources

Defining Roles in Pediatric Palliative Care: Perspectives From Oncology and Palliative Care Teams

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Early integration of pediatric palliative care (PPC) is associated with improved symptom management, quality of life, and healthcare utilization for children with cancer. Despite this, variation persists in how PPC is understood, operationalized, and integrated within pediatric oncology programs. In particular, ambiguity surrounding
Leeat Granek   +13 more
wiley   +1 more source

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