Results 51 to 60 of about 8,779,194 (300)
Scalable holistic linear regression [PDF]
We propose a new scalable algorithm for holistic linear regression building on Bertsimas & King (2016). Specifically, we develop new theory to model significance and multicollinearity as lazy constraints rather than checking the conditions iteratively. The resulting algorithm scales with the number of samples $n$ in the 10,000s, compared to the low
Bertsimas, Dimitris J +1 more
openaire +4 more sources
ABSTRACT Background Pediatric bone sarcoma patients and survivors may experience psychosocial challenges related to childhood cancer after their intensive, body‐altering treatment. This cross‐sectional study aimed to evaluate generic and survivor‐specific psychosocial outcomes in a national cohort of pediatric bone sarcoma patients and survivors, and ...
Hinke van der Hoek +14 more
wiley +1 more source
Relative Importance for Linear Regression in R: The Package relaimpo
Relative importance is a topic that has seen a lot of interest in recent years, particularly in applied work. The R package relaimpo implements six different metrics for assessing relative importance of regressors in the linear model, two of which are ...
U. Groemping
semanticscholar +1 more source
ABSTRACT Background Platinum‐based chemotherapy is known to cause severe and debilitating hearing loss, but unlike cisplatin, the true incidence of carboplatin‐induced hearing loss remains unclear. We evaluated functional hearing outcomes in children receiving carboplatin to determine the incidence and severity of ototoxicity. Procedure We identified a
Aniket Chawla +6 more
wiley +1 more source
Linear Regression with Censoring
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Srinivasan, C., Zhou, M.
openaire +1 more source
Re‐Irradiation in Pediatric Diffuse Midline Glioma: A Multi‐Institutional Retrospective Study
ABSTRACT Background Children with recurrent diffuse midline gliomas (DMGs) have limited therapeutic options at recurrence. Re‐irradiation (RT2) may be used at progression, but with uncertainty about the benefit. Methods We conducted a multi‐institutional retrospective study of children aged < 18 with DMG treated at three centers (Toronto, Canada ...
Ajay Thomas Alex +13 more
wiley +1 more source
Double F-Class Predictors in Linear Regression Models [PDF]
This article develops a family of biased predictors, namely the double f-Class, in the linear regression model. Employing the small disturbance approach, I study the bias and mean square error of the double f-Class predictor.
G. Ghazal
doaj +1 more source
ABSTRACT Objectives The association between exposure to dinutuximab beta (DB) and event‐free survival (EFS) or overall survival (OS) of neuroblastoma patients was assessed using data collected during three clinical trials (five cohorts). Methods A systematic review (March 2026) was conducted to identify relevant studies (prospective; registered DB ...
Przemysław Holko +19 more
wiley +1 more source
Using Simulation In Teaching Simple Linear Regression [PDF]
This paper aims to use simulation in teaching simple linear regression, computer stimulation can be used to teach complicated statistical concepts in linear regression more quickly and effectively than traditional lecture alone.
ALBRIA A., ISAM K. ALANI, AHMED H. ALANI
doaj +1 more source
Homoscedasticity: an overlooked critical assumption for linear regression
Linear regression is widely used in biomedical and psychosocial research. A critical assumption that is often overlooked is homoscedasticity. Unlike normality, the other assumption on data distribution, homoscedasticity is often taken for granted when ...
Kun Yang, Justin Tu, Tian Chen
semanticscholar +1 more source

