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predictive capacity

Predictive capacity of the MADYMO Multibody human body model applied to head kinematics during rugby union tackles

Predictive capacity of the MADYMO Multibody human body model applied to head kinematics during rugby union tackles

... Tackling is a highly technical, fast-paced and dynamic part of rugby union [13,14] with certain playing positions, in extreme cases, potentially making over 30 tackles per game [15]. Unfortunately, it is also the most ...

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Identification and Validation of the Predictive Capacity of Risk Factors and Models in Liver Transplantation Over Time

Identification and Validation of the Predictive Capacity of Risk Factors and Models in Liver Transplantation Over Time

... the predictive capacity of risk factors and risk models in LT and how they vary over time and per outcome ...The predictive capacity of the investigated risk models was compared with ...

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Technical Note: Assessing predictive capacity and conditional independence of landslide predisposing factors for shallow landslide susceptibility models

Technical Note: Assessing predictive capacity and conditional independence of landslide predisposing factors for shallow landslide susceptibility models

... The landslide modelling groups were used to reassess In- formation Values (Table 1) and to build new landslide predic- tion models. Landslide validation groups were crossed with these models to obtain the ROC curves and ...

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Predictive capacity of drug use, impulsivity and sensation-seeking in aggressors and victims of violence

Predictive capacity of drug use, impulsivity and sensation-seeking in aggressors and victims of violence

... the predictive capacity of the impulsivity and sensation-seeking traits for being an aggressor or not or being a victim or not, univariate logistic regression models and multivariate binary logistic ...

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Predictive Capacity of Risk Models in Liver Transplantation

Predictive Capacity of Risk Models in Liver Transplantation

... For the BAR, ET-DRI, DRI, DRM, sRRI, SOFT, and D-MELD scores, the change in predictive capacity (c-index) is demonstrated over time and per outcome type. For patient survival, this is shown in Figure 1A. In ...

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The long term prognostic and predictive capacity of cyclin D1 gene amplification in 2305 breast tumours

The long term prognostic and predictive capacity of cyclin D1 gene amplification in 2305 breast tumours

... Among current research needs in breast cancer, bio- markers capable of helping to predict late recurrences are urgently needed [21]. In this regard, molecular bio- markers and in particular gene expression signatures may ...

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Predictive Capacity of Psychopathological Symptoms for Spanish Adolescents’ Future Expectations

Predictive Capacity of Psychopathological Symptoms for Spanish Adolescents’ Future Expectations

... DOI: 10.4236/oalib.1104546 3 Open Access Library Journal current research examines whether the presence of psychopathology could be a risk factor for a positive view to the future. The study aims to: 1) analyze wheth- er ...

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The predictive capacity and additional prognostic power of N-terminal pro-B-type natriuretic peptide in Chinese elderly with chronic heart failure

The predictive capacity and additional prognostic power of N-terminal pro-B-type natriuretic peptide in Chinese elderly with chronic heart failure

... The current analysis demonstrated that NT-proBNP values were independent predictors of outcome and predictive capacity was comparable between NT-proBNP values and the SHFS in Chinese elderly with CHF. ...

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Lagrangian descriptors and the assessment of the predictive capacity of oceanic data sets

Lagrangian descriptors and the assessment of the predictive capacity of oceanic data sets

... The Loop Current, as explained in Sect. 3 and visible in Fig. 7, breaks into smaller eddies after 24 June in the HY- COM simulations and around 25 June in AVISO. The num- ber of eddies t[r] ...

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A comparison of genomic profiles of complex diseases under different models

A comparison of genomic profiles of complex diseases under different models

... when predictive models capable of handling marker inter- actions and variable redundancy have been built under different approaches as a way to improve the predictive capacity, such as support vector ...

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Semiparametric stochastic volatility modelling using penalized splines

Semiparametric stochastic volatility modelling using penalized splines

... Overall, the approach shows promise as a useful novel tool for analyzing time series of daily log-returns. We have illustrated that the approach can lead to an improved predictive capacity compared to basic ...

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... the predictive capacity of various psychosocial variables—symptom perception, neuroticism, Personality Types 2 and 4 of Grossarth-Maticek and Eysenck, beliefs about health, social support, or certain coping ...

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MATHEMATICS ANXIETY AS A PREDICTOR ON STATISTICS ANXIETY
A PARADOX IN THE PUBLIC DISCOURSE

MATHEMATICS ANXIETY AS A PREDICTOR ON STATISTICS ANXIETY A PARADOX IN THE PUBLIC DISCOURSE

... the predictive capacity of Mathematics anxiety of students on the students’ anxiety in Statistics subjects over and above friends’ influence and computer incompetence of ...

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Academic Dishonesty, Self Control, and General Criminality: A Prospective and Retrospective Study of Academic Dishonesty in a New Zealand University

Academic Dishonesty, Self Control, and General Criminality: A Prospective and Retrospective Study of Academic Dishonesty in a New Zealand University

... Of note in the current study was that self-control dimensions were somewhat better predictors of future as opposed to retrospective self-report of academic dishonesty, in that two self-control subscales reached ...

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Clinicians can independently predict 30 day hospital readmissions as well as the LACE index

Clinicians can independently predict 30 day hospital readmissions as well as the LACE index

... additional predictive capacity to less experienced (resident) clinicians, but its usefulness was limited in a pa- tient population with a high burden of medical comorbidi- ties, and it did not improve the ...

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Vol 11 (2017)

Vol 11 (2017)

... Thus, our findings support high predictive value of HRT, DC and mTWA values for SCD and CV mortality risk stratification. Of course, the main questions are the following: “What should physician do with the patient ...

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Predictive Modelling Analytics through Data Mining

Predictive Modelling Analytics through Data Mining

... of Predictive Analytics for the enhancement of businesses and researchers by applying business intelligence for providing forecasting ability to proceed through the development of ...above. Predictive ...

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Ventilatory response to exercise of elite soccer players

Ventilatory response to exercise of elite soccer players

... the main determinants for discriminating high and low performers: nevertheless, neither Hi-M nor Lo-M were ventilatory limited. Therefore, our results are in agreement with available literature about elite athletes: the ...

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Comparing predictive accuracy in small samples

Comparing predictive accuracy in small samples

... Note: this table reports the predictive accuracy tests for the SPF forecasts of real GNP/GDP growth with respect to a random walk with drift on GNP/GDP levels. GNP/GDP growth is defined as the annualized quar- ter ...

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On the optimality of hedge fund investment strategies: a Bayesian skew t distribution model

On the optimality of hedge fund investment strategies: a Bayesian skew t distribution model

... portfolio predictive return, with an overall portfolio predictive risk of ...positive predictive skewness of ...portfolio predictive rate of return is 14,8%, with 2,6% predictive ...

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