Results 41 to 50 of about 7,849,545 (341)

A Statistical Model for Risk Stratification on the Basis of Left Ventricular Ejection Fraction and Heart-Rate Turbulence [PDF]

, 2000
The MPIP data set was used to obtain a model for mortality risk stratification of acute myocardial infarction patients. The predictors heart rate turbulence (HRT) and left-ventricular ejection fraction (LVEF) were employed. HRT was a categorical variable
Barthel, Petra, Bigger Jr., J. Thomas, Pashova, Victoria, Rolnitzky, Linda, Schmidt, Georg, Schneider, Raphael, Schömig, Albert, Ulm, Kurt   +7 more
core   +1 more source

Assessment of model risk due to the use of an inappropriate parameter estimator

Cogent Economics & Finance, 2020
The purpose of this study is to assess model risk with respect to parameter estimation for a simple binary logistic regression model applied as a predictive model.
Modisane B. Seitshiro, Hopolang P. Mashele   +1 more
doaj   +1 more source

Risk-sensitive investment in a finite-factor model [PDF]

, 2016
A new jump diffusion regime-switching model is introduced, which allows for linking jumps in asset prices with regime changes. We prove the existence and uniqueness of the solution to the risk-sensitive asset management criterion maximisation problem in ...
Andruszkiewicz, Grzegorz, Davis, Mark H. A., Lleo, Sébastien   +2 more
core   +2 more sources

A Quality Improvement Initiative to Standardize Pneumocystis jirovecii Pneumonia Prophylaxis in Pediatric Patients With Solid Tumors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar, Denise M. Connolly, Ellen Kellington, Elyse Zelunka, Karla Kerrigan, Furqan Shaikh, Paul C. Nathan, Meredith S. Irwin, Sarah Cohen‐Gogo   +8 more
wiley   +1 more source

Online Investor Sentiment via Machine Learning

Mathematics
In this paper, we propose utilizing machine learning methods to determine the expected aggregated stock market risk premium based on online investor sentiment and employing the multifold forward-validation method to select the relevant hyperparameters ...
Zongwu Cai, Pixiong Chen
doaj   +1 more source

A competing risk model for health and food insecurity in the West Bank [PDF]

, 2010
This paper explores the interactions between the risk of food insecurity and the decision to health insure in the Palestinian Territories. The risk of adverse health conditions is insurable; the risk of food insecurity is a background risk and no market ...
Cavatorta, Elisa, Pieroni, L.
core   +1 more source

Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis, Okeleji Olayinka, Mariam Z. Quraishi, Lakshmi V. Srivaths, Deborah L. Brown, Neethu M. Menon, Ricardo A. Mosquera, Ashwin P. Patel, James M. Stark, Aravind Yadav   +9 more
wiley   +1 more source

Quantifying Correlation Uncertainty Risk in Credit Derivatives Pricing

International Journal of Financial Studies, 2018
We propose a simple but practical methodology for the quantification of correlation risk in the context of credit derivatives pricing and credit valuation adjustment (CVA), where the correlation between rates and credit is often uncertain or unmodelled ...
Colin Turfus
doaj   +1 more source

MEASURING DISTRIBUTION MODEL RISK [PDF]

Mathematical Finance, 2013
We propose to interpret distribution model risk as sensitivity of expected loss to changes in the risk factor distribution, and to measure the distribution model risk of a portfolio by the maximum expected loss over a set of plausible distributions defined in terms of some divergence from an estimated distribution.
Breuer, T., Csiszár, Imre
openaire   +3 more sources

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus, Floortje Strobbe, Annemarie A. Verrijn Stuart, Hanneke M. van Santen, Gerlof D. Valk, Sasja A. Schepers, Rachel S. van Leeuwaarde   +6 more
wiley   +1 more source