Arrêt Cardiaque

area at risk; clinical trial; edema; endpoint; infarct size; magnetic resonance imaging; myocardial infarction; STEMI.. Improvements in therapy for ST-segment elevation

From this theorem we see that, as usual in nonparametric kernel deconvolution estimators, the bias of our estimator is exactly the same as the bias of the local polynomial estimator

Roughly speaking, we split the data randomly into two halves, do model selection by using the first half of the data set and refit the model on the basis of the variables selected

The theoretical optimal risk, the median of the actual risks and the median of the empirical risks of 101 empirically selected portfolios are also summarized in (c) (based on the

We focus on parsimonious modeling of the covariance function of the random error process ε (t) for the analysis of longitudinal data, when observations are collected at irregular

confidence band; hypothesis test; semivarying coefficient models; exponential family; generalized varying coefficient models; local maximum likelihood; nonlinear time

These two features raise three unique challenges: (i) High dimensionality brings noise accumulation, spurious correlations, and incidental homogeneity; (ii) High

DS research is broad in scope and engages a wide spectrum of scientific and health care disciplines. To accomplish the goals of the project, eleven working groups made up of