Results 71 to 80 of about 594,478 (289)
Meteorological ApplicationsGlobal hydrological reanalyses are modelled datasets providing information on river discharge evolution everywhere in the world. With multi‐decadal daily timeseries, they provide long‐term context to identify extreme hydrological events such as floods ...
Christel Prudhomme +11 more
doaj +1 more source
How CBO Forecasts Income [PDF]
, 2006 [Excerpt] Because federal receipts are determined to a great extent by taxes collected on individual and business income, this background paper focuses on how CBO projects income earned by individuals and businesses. It concentrates primarily on CBO\u27s
U.S. Congressional Budget Office
core +1 more source
Parent‐to‐Child Information Disclosure in Pediatric Oncology
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor +12 more
wiley +1 more source
"Evaluating Macroeconomic Forecasts: A Review of Some Recent Developments" [PDF]
Macroeconomic forecasts are frequently produced, published, discussed and used. The formal evaluation of such forecasts has a long research history. Recently, a new angle to the evaluation of forecasts has been addressed, and in this review we analyse ...
Michael McAleer +2 more
core +3 more sources
Power Spectra of Physics‐Based and Data‐Driven Ensembles
Meteorological ApplicationsPower spectra are evaluated for a range of ensemble systems run at the European Centre for Medium‐Range Weather Forecasts (ECMWF). These spectra allow us to chart and compare the spatial–temporal evolution of ensemble spread and error, and to evaluate ...
Mark J. Rodwell +4 more
doaj +1 more source
Bayesian modelling of real GDP rate in Romania [PDF]
Computational Methods in Social Sciences, 2015 The main objective of this study is to model and predict the real GDP rate using Bayesian approach. A Bayesian VAR (BVAR), a Bayesian linear model and switching regime Bayesian models were employed for the real GDP rate, inflation rate and interest rate.
Mihaela SIMIONESCU
doaj
The role of empirical space-weather models (in a world of physics-based numerical simulations) [PDF]
, 2018 Advanced forecasting of space weather requires prediction of near-Earth solar-wind conditions on the basis of remote solar observations. This is typically achieved using numerical magnetohydrodynamic models initiated by photospheric magnetic field ...
Barnard +5 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.Abstract Introduction The TEDDI trial tested the feasibility and reproducibility of deep‐inspiration breath‐hold (DIBH) in pediatric patients referred for radiotherapy. This report presents final results, including patient‐reported outcomes (PRO) and dosimetric comparison of DIBH and free‐breathing (FB).
Daniella Elisabet Østergaard +11 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Cyclophosphamide (CY) is associated with potentially fatal cardiotoxicity, yet no electrocardiographic indices have been established for early detection of CY‐induced cardiomyopathy. This study aimed to determine whether corrected QT interval (QTc) prolongation can predict early onset of CY‐related cardiac dysfunction in pediatric ...
Junpei Kawamura +5 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser +6 more
wiley +1 more source