Results 51 to 60 of about 630,158 (264)
Identifiability of logistic regression with homoscedastic error: Berkson model
Modern Stochastics: Theory and Applications, 2015 We consider the Berkson model of logistic regression with Gaussian and homoscedastic error in regressor. The measurement error variance can be either known or unknown. We deal with both functional and structural cases.
Sergiy Shklyar
doaj +1 more source
NONPARAMETRIC INSTRUMENTAL REGRESSION WITH ERRORS IN VARIABLES [PDF]
Econometric Theory, 2018 This paper considers nonparametric instrumental variable regression when the endogenous variable is contaminated with classical measurement error. Existing methods are inconsistent in the presence of measurement error. We propose a wavelet deconvolution estimator for the structural function that modifies the generalized Fourier coefficients of the ...
Karun Adusumilli, Taisuke Otsu
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Person‐centred follow‐up care based on evidence‐based clinical practice guidelines and providing individualised information should help to inform and reassure survivors about their medical and psychosocial situation and provide treatment and support where needed.
Gisela Michel +36 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Ewing sarcoma (ES) and rhabdomyosarcoma (RMS) are aggressive malignancies in children and adolescents where metastases impact prognosis. 18F‐fluoro‐2‐deoxy‐d‐glucose positron emission tomography/computed tomography (FDG‐PET/CT) and bone marrow aspirate and trephine biopsies (BMAT) are used to identify disease involvement.
Imogen Andrews +3 more
wiley +1 more source
Self-Consistent Density Estimation in the Presence of Errors-in-Variables
Abstract and Applied Analysis, 2014 This paper considers the estimation of the common probability density of independent and identically distributed variables observed with additive measurement errors.
Junhua Zhang, Yuping Hu, Sanying Feng
doaj +1 more source
Using lexical variables to predict picture-naming errors in jargon aphasia
Frontiers in Psychology, 2015 Introduction Individuals with jargon aphasia produce fluent output which often comprises high proportions of non-word errors (e.g., maf for dog). Research has been devoted to identifying the underlying mechanisms behind such output.
Catherine Godbold
doaj +1 more source
CO-REGISTRATION OF 3D POINT CLOUDS BY USING AN ERRORS-IN-VARIABLES MODEL [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Co-registration of point clouds of partially scanned objects is the first step of the 3D modeling workflow. The aim of co-registration is to merge the overlapping point clouds by estimating the spatial transformation parameters. In the literature, one of
U. Aydar +3 more
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida +6 more
wiley +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
NeuroImage, 2020 Comparing electric field simulations from individualized head models against in-vivo intra-cranial recordings is considered the gold standard for direct validation of computational field modeling for transcranial brain stimulation and brain mapping ...
Oula Puonti +3 more
doaj +1 more source