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UN CRITERIO PARA IDENTIFICAR DATOS ATÍPICOS UN CRITERIO PARA IDENTIFICAR DATOS ATÍPICOS
Revista Colombiana de Estadística, 2004 This paper present a method to determine the observations that are outliers in a model of multiple linear regression; these data will be established according to the change that is presented on the sum of the squares of residual of the model.En este ...
Jiménez Moscoso José Alfredo
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Regularization Methods Based on the Lq-Likelihood for Linear Models with Heavy-Tailed Errors
Entropy, 2020 We propose regularization methods for linear models based on the Lq-likelihood, which is a generalization of the log-likelihood using a power function. Regularization methods are popular for the estimation in the normal linear model.
Yoshihiro Hirose
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, 2009 We study semiparametric varying-coefficient partially linear models when some linear covariates are not observed, but ancillary variables are available.
Liang, Hua, Zhou, Yong
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background This study investigated how neighborhood‐level social determinants of health (SDOH), including redlining and neurological risk, interact to influence cognitive outcomes in children treated for brain tumors (CTBT). Methods A retrospective chart review of 161 CTBT aged 5–17 was conducted.
Alannah R. Srsich +5 more
wiley +1 more source
MathematicsGeneralized linear models are applied for data analysis in various areas. One of the most important steps in fitting the model is to check the goodness-of-fit; however, there is a lack of such tests.
Vilijandas Bagdonavičius +1 more
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High-Dimensional Inference: Confidence Intervals, $p$-Values and R-Software hdi
, 2015 We present a (selective) review of recent frequentist high-dimensional inference methods for constructing $p$-values and confidence intervals in linear and generalized linear models.
Bühlmann, Peter +3 more
core +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
Three-Point Statistics from a New Perspective
, 2004 Multipole expansion of spatial three-point statistics is introduced as a tool for investigating and displaying configuration dependence. The novel parametrization renders the relation between bi-spectrum and three-point correlation function especially ...
Bouchet F. R., Hivon E., Kaiser N.
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm +11 more
wiley +1 more source
Total ozone time series analysis: a neural network model approach [PDF]
Nonlinear Processes in Geophysics, 2004 This work is focused on the application of neural network based models to the analysis of total ozone (TO) time series. Processes that affect total ozone are extremely non linear, especially at the considered European mid-latitudes.
B. M. Monge Sanz
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