Results 31 to 40 of about 1,037,347 (287)
A learning system-based soft multiple linear regression model
Intelligent Systems with ApplicationsMachine learning applied to regression models offers powerful mathematical tools for predicting responses based on one or more predictor variables.
Gholamreza Hesamian +3 more
doaj +1 more source
Agricultural Socio-Economic Empowerment and Agribusiness Journal, 2022 The agricultural sector, especially plantations, has entered the business world that considers profit in its activities. One of them is tobacco farming in Manisrenggo Sub-district, Klaten Regency. This study aims to determine the costs, revenues, income,
Zurinda Adkha Rachmanindita +2 more
doaj +1 more source
Minimum area confidence set optimality for confidence bands in simple linear regression [PDF]
, 2007 The average width of a simultaneous confidence band has been used by several authors (e.g. Naiman, 1983, 1984, Piegorsch, 1985a) as a criterion for the comparison of different confidence bands.
Liu, W., Hayter, A.J.
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Multiple-linear regression analysis of DNAmPAI-1.
, 2022 B, unstandardized partial regression coefficient; DNAmPAI-1, DNA methylation-based plasminogen activator inhibitor-1; SE, standard error. Multiple linear regression analysis was performed with PAI-1 as the response variable and phenotype, sex, and age as
Ryo Kimura (3237978) +5 more
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Large Sample Theory for Some Ridge-Type Regression Estimators
StatsThis paper provides a large sample theory for some ridge-type multiple linear regression estimators, including Liu-type regression estimators, when the number of predictors is fixed.
Yu Jin, David J. Olive
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa +8 more
wiley +1 more source
Pediatric 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
Pediatric 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
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási +14 more
wiley +1 more source
Partially linear censored quantile regression [PDF]
, 2009 Censored regression quantile (CRQ) methods provide a powerful and flexible approach to the analysis of censored survival data when standard linear models are felt to be appropriate.
Portnoy, S., Neocleous, T.
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