Results 31 to 40 of about 12,380,363 (249)

The Impact of the COVID‐19 Pandemic on Childhood Cancer Survival: A Population‐Based Assessment of Survival Patterns Between 2015 and 2023 in Germany

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Numerous international studies have reported declines in new cancer diagnoses, delayed diagnoses and disruptions in cancer treatment following the implementation of COVID‐19 pandemic public health measures, raising concerns that these effects may ultimately contribute to increased cancer mortality.
Friederike Erdmann, Maike Wellbrock, Javier Louro, Arndt Borkhardt, Martin Schrappe, Claudia Trübenbach, Desiree Grabow, Cécile M. Ronckers, Joachim Schüz   +8 more
wiley   +1 more source

Extending phylogenetic regression models for comparing within‐species patterns across the tree of life

Methods in Ecology and Evolution
Evolutionary biologists characterize macroevolutionary trends of phenotypic change across the tree of life using phylogenetic comparative methods. However, within‐species variation can complicate such investigations.
Dean C. Adams, Michael L. Collyer
doaj   +1 more source

The Generalized Odd Linear Exponential Family of Distributions with Applications to Reliability Theory

Mathematical and Computational Applications, 2022
A new family of continuous distributions called the generalized odd linear exponential family is proposed. The probability density and cumulative distribution function are expressed as infinite linear mixtures of exponentiated-F distribution.
Farrukh Jamal, Laba Handique, Abdul Hadi N. Ahmed, Sadaf Khan, Shakaiba Shafiq, Waleed Marzouk   +5 more
doaj   +1 more source

Referral Patterns and Diagnostic Timeliness in Pediatric Cancer: A Hospital‐Based Study in Indonesia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Timely diagnosis and treatment are critical for improving survival among children with cancer. In low‐ and middle‐income countries (LMICs), delays are common and may be influenced by fragmented referral pathways and diagnostic limitations.
Nur Melani Sari, Regina Hadi Putri, Fatimah Assyifa, Judith Spijkerman, Gertjan Johannes Kaspers, Susi Susanah   +5 more
wiley   +1 more source

Optimizing Linear Models via Sinusoidal Transformation for Boosted Machine Learning in Medicine

مجلة كلية الطب, 2020
Background: Machine learning relies on a hybrid of analytics, including regression analyses. There have been no attempts to deploy a sinusoidal transformation of data to enhance linear regression models.
Ahmed Al-Imam
doaj  

Research on linear regression algorithm [PDF]

MATEC Web of Conferences
Linear regression is one of the most widely used predictive models in statistics and machine learning. This paper aims to comprehensively discuss the theoretical basis, mathematical principle and application of linear regression algorithm in various ...
Qu Kecheng
doaj   +1 more source

Regression: Linear Models in Statistics

, 2010
Regression is the branch of Statistics in which a dependent variable of interest is modelled as a linear combination of one or more predictor variables, together with a random error.
Bingham, Nick, N. H. Bingham, John M. Fry, Fry, John, Bingham, N H, Fry, John M   +5 more
core   +1 more source

Venetoclax‐Based Therapy as a Bridge to Hematopoietic Stem Cell Transplantation in Relapsed or Refractory Pediatric Acute Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Relapsed and/or refractory (R/R) pediatric acute leukemia carries a dismal prognosis, largely driven by chemoresistance to conventional salvage therapy. The BH3‐mimetic venetoclax, combined with chemotherapy or hypomethylating agents, has demonstrated efficacy in small clinical trials.
Katherine S. Colman, Deborah Meyran, Vajiranee Malalasekera, Heather Weerdenburg, Janine Campbell, Rachel Conyers, Stacie Wang, Hannah Walker, Seong Lin Khaw, Diane Hanna   +9 more
wiley   +1 more source

UNA GENERALIZACIÓN DE LA ESTADÍSTICA DE COOK UNA GENERALIZACIÓN DE LA ESTADÍSTICA DE COOK

Revista Colombiana de Estadística, 2001
This paper presents a generalization of the Cook's statistics useful in the identification of influential observations in the least squares estimation of the multiple regression parameters.En este artículo se presenta una generalización de la estadística
Jiménez M. José
doaj  

A High Dimensional Omnibus Regression Test

Stats
Consider regression models where the response variable Y only depends on the p×1 vector of predictors x=(x1,…,xp)T through the sufficient predictor SP=α+xTβ. Let the covariance vector Cov(x,Y)=ΣxY.
Ahlam M. Abid, Paul A. Quaye, David J. Olive   +2 more
doaj   +1 more source