Results 41 to 50 of about 10,565,858 (290)

Robust Unsupervised Learning via L-statistic Minimization. [PDF]

open access: yes, 2021
Designing learning algorithms that are resistant to perturbations of the underlying data distribution is a problem of wide practical and theoretical importance. We present a general approach to this problem focusing on unsupervised learning.
Maurer, Andreas   +3 more
core  

Serological Benefit of SARS‐CoV‐2 Vaccination Relative to Infection in Children With Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro   +11 more
wiley   +1 more source

Testing Equality of Several Correlation Matrices

open access: yesRevista Colombiana de Estadística, 2013
In this article we show that the Kullbacks statistic for testing equality of several correlation matrices may be considered a modified likelihood ratio statistic when sampling from multivariate normal populations.
ARJUN K. GUPTA   +2 more
doaj  

Nonparametric confidence intervals for the area under the ROC curve

open access: yesStatistica, 2013
Following an idea by Jing et al. (2005), this paper combines the empirical likelihood for the mean functional with jackknife pseudo-values obtained from the Mann-Witney two-sample statistic.
Gianfranco Adimari
doaj   +1 more source

Derivation and validation of a two‐variable index to predict 30‐day outcomes following heart failure hospitalization

open access: yesESC Heart Failure, 2021
Background The LACE index—length of stay (L), acuity (A), Charlson co‐morbidities (C), and emergent visits (E)—predicts 30‐day outcomes following heart failure (HF) hospitalization but is complex to score.
Tauben Averbuch   +7 more
doaj   +1 more source

Inference With Dyadic Data: Asymptotic Behavior of the Dyadic-Robust t-Statistic

open access: yes, 2018
This article is concerned with inference in the linear model with dyadic data. Dyadic data are indexed by pairs of “units;” for example, trade data between pairs of countries.
Max Tabord-Meehan (5334596)
core   +1 more source

Deep Sequencing of FLT3‐ITD Enables Response Evaluation and Post‐Treatment Monitoring in Childhood AML: An Exploratory Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm   +11 more
wiley   +1 more source

Prognostic impact of alkaline phosphatase for in-hospital mortality in patients with acute coronary syndrome: a prospective cohort study in China

open access: yesBMJ Open, 2019
ObjectivesAlkaline phosphatase (ALP) can promote vascular calcification, but the association between ALP and in-hospital mortality in patients with acute coronary syndrome (ACS) is not well defined.DesignA prospective cohort study.Setting and ...
Tongtong Yu   +8 more
doaj   +1 more source

Time Toxicity in Wilms Tumor: Quantifying the Burden of Healthcare Interaction in the First Year After Diagnosis

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Wilms tumor (WT) treatment imposes a significant time burden on patients and their families. Time toxicity is a patient‐centered metric that quantifies the burden of healthcare interaction. We sought to define time toxicity in the first year after diagnosis of WT and hypothesized that it would increase as tumor stage and treatment ...
Caleb Q. Ashbrook   +6 more
wiley   +1 more source

The consistency of bootstrap and jackknife variance estimators for finite population L-statistics

open access: yesLietuvos Matematikos Rinkinys, 2012
For the linear combinations of order statistics (L-statistics), we present conditions sufficient for the consistency of their finite-population bootstrap variance estimator and the classical jackknife variance estimator.
Andrius Čiginas
doaj   +1 more source

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