Results 41 to 50 of about 1,596,868 (270)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background/Objectives Osteosarcoma is a radioresistant tumor that may benefit from stereotactic body radiation therapy (SBRT) for locoregional control in metastatic/recurrent disease. We report institutional practice patterns, outcomes, toxicity, and failures in osteosarcoma patients treated with SBRT.
Jenna Kocsis +13 more
wiley +1 more source
Log-Regularly Varying Scale Mixture of Normals for Robust Regression
, 2021 Linear regression with the classical normality assumption for the error distribution may lead to an undesirable posterior inference of regression coefficients due to the potential outliers.
Hamura, Yasuyuki +2 more
core +1 more source
Parent‐to‐Child Information Disclosure in Pediatric Oncology
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor +12 more
wiley +1 more source
IEEE AccessViolence targeting women has endured since ancient times, encompassing a spectrum of offenses ranging from psychological anguish to physical and sexual assault.
Poonam K. Saravag, B. Rushi Kumar
doaj +1 more source
On Robust Estimation of Error Variance in (Highly) Robust Regression
Measurement Science Review, 2020 The linear regression model requires robust estimation of parameters, if the measured data are contaminated by outlying measurements (outliers). While a number of robust estimators (i.e. resistant to outliers) have been proposed, this paper is focused on
Kalina Jan, Tichavský Jan
doaj +1 more source
Robust analyzes for longitudinal clinical trials with missing and non-normal continuous outcomes
Statistical Theory and Related Fields, 2023 Missing data is unavoidable in longitudinal clinical trials, and outcomes are not always normally distributed. In the presence of outliers or heavy-tailed distributions, the conventional multiple imputation with the mixed model with repeated measures ...
Siyi Liu +4 more
doaj +1 more source
The Annals of Statistics, 1987 Let \(y_ t=x'_ t\beta +u_ t\), \(t\in Z^ 1\), where the disturbances \(u_ t\) follow a second-order stationary process with E \(u_ t=0\). The spectral density f(\(\lambda)\) of a process \(u_ t\) is unknown but belongs to a neighborhood of some special spectral density \(f_ 0(\lambda)\).
openaire +3 more sources
Robust bent line regression [PDF]
Journal of Statistical Planning and Inference, 2017 We introduce a rank-based bent linear regression with an unknown change point. Using a linear reparameterization technique, we propose a rank-based estimate that can make simultaneous inference on all model parameters, including the location of the change point, in a computationally efficient manner.
Zhang, Feipeng, Li, Qunhua
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Cyclophosphamide (CY) is associated with potentially fatal cardiotoxicity, yet no electrocardiographic indices have been established for early detection of CY‐induced cardiomyopathy. This study aimed to determine whether corrected QT interval (QTc) prolongation can predict early onset of CY‐related cardiac dysfunction in pediatric ...
Junpei Kawamura +5 more
wiley +1 more source
Understanding the determinants of happiness through Gallup World Poll
Journal of Family Medicine and Primary Care, 2020 Background: The idea of happiness is as old as civilization, but breakthrough is achieved only in 20th century. Happiness can be broadly segmented into biological and behavioural component. The sufferings from illnesses hamper happiness.
Vidushi Jaswal +4 more
doaj +1 more source