Results 91 to 100 of about 34,016,939 (394)

Risk projections in time [PDF]

open access: yes, 1993
The nominal risk coefficients for radiation induced cancer are largely based on the follow-up of the mortality from solid cancers among the atomic bomb survivors. For those who have been exposed as adults, the observations are essentially complete, and
Kellerer, Albrecht M.
core   +1 more source

The dual nature of TDC – bridging dendritic and T cells in immunity

open access: yesFEBS Letters, EarlyView.
TDC are hematopoietic cells combining dendritic and T cell features. They reach secondary lymphoid organs (SLOs) and peripheral organs (liver and lungs) after FLT3‐dependent development in the bone marrow and maturation in the thymus. TDC are activated and enriched in SLOs upon viral infection, suggesting that they might play unique immune roles, since
Maria Nelli, Mirela Kuka
wiley   +1 more source

Quantifying Uncertainty in Risk Assessment using Fuzzy Theory [PDF]

open access: yesarXiv, 2020
Risk specialists are trying to understand risk better and use complex models for risk assessment, while many risks are not yet well understood. The lack of empirical data and complex causal and outcome relationships make it difficult to estimate the degree to which certain risk types are exposed.
arxiv  

Robust Optimal Risk Sharing and Risk Premia in Expanding Pools [PDF]

open access: yes, 2016
We consider the problem of optimal risk sharing in a pool of cooperative agents. We analyze the asymptotic behavior of the certainty equivalents and risk premia associated with the Pareto optimal risk sharing contract as the pool expands. We first study this problem under expected utility preferences with an objectively or subjectively given ...
arxiv   +1 more source

Marginals Versus Copulas: Which Account For More Model Risk In Multivariate Risk Forecasting? [PDF]

open access: yesarXiv, 2021
Copulas. We study the model risk of multivariate risk models in a comprehensive empirical study on Copula-GARCH models used for forecasting Value-at-Risk and Expected Shortfall. To determine whether model risk inherent in the forecasting of portfolio risk is caused by the candidate marginal or copula models, we analyze different groups of models in ...
arxiv  

The immunological interface: dendritic cells as key regulators in metabolic dysfunction‐associated steatotic liver disease

open access: yesFEBS Letters, EarlyView.
Metabolic dysfunction‐associated steatotic liver disease (MASLD) affects nearly one‐third of the global population and poses a significant risk of progression to cirrhosis or liver cancer. Here, we discuss the roles of hepatic dendritic cell subtypes in MASLD, highlighting their distinct contributions to disease initiation and progression, and their ...
Camilla Klaimi   +3 more
wiley   +1 more source

Development of a Simple Risk Model to Predict Mortality in Patients With Osteosarcoma of the Extremity

open access: yesFrontiers in Medicine, 2022
BackgroundOsteosarcoma (OS) is the most prevalent primary malignant bone cancer with poor prognosis. The aim of this study was to explore the prognostic factors that influence survival, and build up and validate a simple risk model to predict mortality ...
Yu Chen   +6 more
doaj   +1 more source

Risk Loadings in Classification Ratemaking [PDF]

open access: yesarXiv, 2020
The risk premium of a policy is the sum of the pure premium and the risk loading. In the classification ratemaking process, generalized linear models are usually used to calculate pure premiums, and various premium principles are applied to derive the risk loadings. No matter which premium principle is used, some risk loading parameters should be given
arxiv  

PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies

open access: yesAnnals of Internal Medicine, 2019
Prediction relates to estimating the probability of something currently unknown. In the context of medical research, prediction typically concerns either diagnosis (probability of a certain condition being present but not yet detected) or prognosis ...
R. Wolff   +8 more
semanticscholar   +1 more source

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

open access: yes, 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   +7 more
core   +1 more source

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