Search results for " Predictor"

Predictive factors of physical activity in Spanish students based on their weight status

2018

El objetivo del presente estudio fue comparar la motivación autodeterminada hacia el ejercicio físico, autoconcepto físico, barreras hacia la actividad física e intención de ser físicamente activo entre adolescentes con y sin sobrepeso/obesidad. Una muestra de 333 escolares, de 13 a 16 años, participaron en esta investigación. Para la medición de las distintas variables se utilizaron instrumentos validados: Índice de masa corporal, Behavioral Regulation in Exercise Questionnaire, Physical Self Description Questionnaire, Autoinforme de Barreras para la Práctica de Ejercicio Físico e Intention to Be Physically Active Questionnaire. Los resultados mostraron diferencias estadísticamente signifi…

Abilità di apprendimento di lettura e scrittura in bambini in età prescolare e predittori di rischio

2014

The years from birth through age 5 are a critical time for children’s development and learning. Early childhood educators understand that at home and in early childhood education settings, young children learn important skills that can provide them with the cornerstones needed for the development of later academic skills. These patterns of learning in preschool are closely linked to later achievement: children who develop more skills in the preschool years perform better in the primary grades. The development of early skills appears to be particularly important in the area of literacy. It is estimated that more than a third of all graders (and an even higher percentage of our at-risk studen…

Early cognitive predictors of PISA reading in children with and without family risk for dyslexia

2018

Abstract This study examined language skills and pre-literacy skills (phonological awareness, rapid naming, and letter knowledge) before school-age as predictors of PISA reading at age 15 in two groups of children, with (n = 88) and without (n  = 70) family-risk for dyslexia . Moreover, effects of family-risk on these early predictors, reading fluency , and PISA reading were examined while controlling the effect of gender. Children were followed from age 2 to 15. Family-risk had a significant effect on early language and pre-literacy skills, reading fluency and PISA reading. A similar model predicting PISA reading fitted the data well in the Family-risk and the No family-risk group. Languag…

Derived variables calculated from similar joint responses: some characteristics and examples

1995

Abstract A technique (Cox and Wermuth, 1992) is reviewed for finding linear combinations of a set of response variables having special relations of linear conditional independence with a set of explanatory variables. A theorem in linear algebra is used both to examine conditions in which the derived variables take a specially simple form and lead to reduced computations. Examples are discussed of medical and psychological investigations in which the method has aided interpretation.

dglars: An R Package to Estimate Sparse Generalized Linear Models

2014

dglars is a publicly available R package that implements the method proposed in Augugliaro, Mineo, and Wit (2013), developed to study the sparse structure of a generalized linear model. This method, called dgLARS, is based on a differential geometrical extension of the least angle regression method proposed in Efron, Hastie, Johnstone, and Tibshirani (2004). The core of the dglars package consists of two algorithms implemented in Fortran 90 to efficiently compute the solution curve: a predictor-corrector algorithm, proposed in Augugliaro et al. (2013), and a cyclic coordinate descent algorithm, proposed in Augugliaro, Mineo, and Wit (2012). The latter algorithm, as shown here, is significan…

Linear and ellipsoidal restrictions in linear regression

1991

The problem of combining linear and ellipsoidal restrictions in linear regression is investigated. Necessary and sufficient conditions for compactness of the restriction set are proved assuring the existence of a minimax estimator. When the restriction set is not compact a minimax estimator may still exist for special loss functions arid regression designs

Estimating regression models with unknown break-points.

2003

This paper deals with fitting piecewise terms in regression models where one or more break-points are true parameters of the model. For estimation, a simple linearization technique is called for, taking advantage of the linear formulation of the problem. As a result, the method is suitable for any regression model with linear predictor and so current software can be used; threshold modelling as function of explanatory variables is also allowed. Differences between the other procedures available are shown and relative merits discussed. Simulations and two examples are presented to illustrate the method.

VENTRICULAR DYSFUNCTION AND NUMBER OF NON COMPACTED SEGMENTS IN NON COMPACTION: NON-INDEPENDENT PREDICTORS

2009

VENTRICULAR DYSFUNCTION AND NUMBER OF NON COMPACTED SEGMENTS IN NON COMPACTION: NON-INDEPENDENT PREDICTORS BACKGROUND: Isolated ventricular noncompaction (IVNC) is characterized by multiple prominent trabeculations and deep intertrabecular recesses. Some reports prove that the chronic heart failure may occur in approximately half of the patients. In this report we investigate the correlation between the number of non compacted segments and entity of systolic dysfunction from the registry and subregistries of the SIEC. METHOD: To identify the correlation between ventricular dysfunction and number of segments involved in non compaction we evaluated a consecutive series of 238 patients affecte…

Molecular markers in acute coronary syndrome

2014

Predictors for Therapy Response to Intrathecal Corticosteroid Therapy in Multiple Sclerosis

2019

\(\bf Objective:\) The autoimmune disease Multiple Sclerosis (MS) represents a heterogeneous disease pattern with an individual course that may lead to permanent disability. In addition to immuno-modulating therapies patients benefit from symptomatic approaches like intrathecal corticosteroid therapy (ICT), which is frequently applied in a growing number of centers in Germany. ICT reduces spasticity, which elongates patient's walking distance and speed, thus improves quality of life. \(\bf Methods:\) In our study we set out to investigate cerebrospinal fluid (CSF) parameters and clinical predictors for response to ICT. Therefore, we analyzed 811 CSF samples collected from 354 patients over …