Nicoleta Serban

TL;DR: It is not cost-effective to screen patients aged older than 80 years or in populations with <3500 patients, and future screening policies should give consideration to the age of patients receiving screenings and the system's patient pool size.

TL;DR: In this paper , the authors compared the probabilistic accuracy of short-term forecasts of reported deaths due to COVID-19 during the first year and a half of the pandemic in the United States.

TL;DR: CATS-clustering after transformation and smoothing-is a technique for nonparametrically estimating and clustering a large number of curves for screening out flat curves, clustering curves with similar shape, and nonparametric inferring the clustering estimation error rate.

TL;DR: In this paper, a nonparametric degradation modeling framework for making inference on the evolution of degradation signals that are observed sparsely or over short intervals of times is presented, which is used to update the stochastic parameters of the degradation model in real-time using training degradation signals for online monitoring of components operating in the field.

TL;DR: In this paper, the authors systematically evaluated 23 models that regularly submitted forecasts of reported weekly incident COVID-19 mortality counts in the US at the state and national level at the CDC.