Results 121 to 130 of about 3,030,006 (223)
Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology
Molecular Oncology, EarlyView.Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts +8 more
wiley +1 more source
The Predictive Value of Risk Factors and Prognostic Scores in Hospitalized COVID-19 Patients. [PDF]
Diagnostics (Basel), 2023 Brajkovic M +14 more
europepmc +1 more source
Backtesting Parametric Value-at-Risk with Estimation Risk [PDF]
One of the implications of the creation of Basel Committee on Banking Supervision was the implementation of Value-at-Risk (VaR) as the standard tool for measuring market risk.
Jose Olmo, Juan Carlos Escanciano
core
Estimasi Value At Risk pada Portofolio Nilai Tukar Mata Uang dengan Pendekatan Copula [PDF]
, 2012 Interaksi kurs, saham, dan suku bunga memiliki hu-bungan sangat besar dengan pasar uang. Resiko investasi tidak hanya pada portofolio saham saja, namun pada portofolio kurs.
Ariany, F. (Farida) +2 more
core
Molecular Oncology, EarlyView.A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira +14 more
wiley +1 more source
Implied value-at-risk and model-free simulation. [PDF]
Ann Oper Res, 2022 Bernard C, Perchiazzo A, Vanduffel S.
europepmc +1 more source
Value-at-Risk Calculations with Time Varying Copulae [PDF]
Value-at-Risk (VaR) of a portfolio is determined by the multivariate distribution of the risk factors increments. This distribution can be modelled through copulae, where the copulae parameters are not necessarily constant over time. For an exchange rate
Enzo Giacomini, Wolfgang Härdle
core
Molecular Oncology, EarlyView.This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian +10 more
wiley +1 more source
GARCHNet: Value-at-Risk Forecasting with GARCH Models Based on Neural Networks. [PDF]
Comput Econ, 2023 Buczynski M, Chlebus M.
europepmc +1 more source
Evaluating Value-at-Risk Models via Quantile Regressions [PDF]
We propose an alternative backtest to evaluate the performance of Value-at-Risk (VaR) models. The presented methodology allows us to directly test the performance of many competing VaR models, as well as identify periods of an increased risk exposure ...
Luiz Renato Lima +2 more
core