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Name: Ground water
Tasking machine learning to predict segments of a time series requires estimating the parameters of a ML model with input/output pairs from the time series. We borrow two techniques used in statistica...
Extracting knowledge from time series provides important tools for many real applications. However, many challenging problems still open due to the stochastic nature of large amount of time series. Co...
A recent method based on the concurrence of complex networks and multifractal analyses is applied for the first time to explore ground-level ozone behavior. Ozone time series are converted into comple...
This paper presents Granger Mediation Analysis (GMA), a new framework for causal mediation analysis of multiple time series. This framework is motivated by a functional magnetic resonance imaging (fMR...
It is unclear whether child maltreatment is increasing or decreasing in England and Wales. More evidence is needed, from multiple sources and over longer periods of time, to explore trends in child ma...
When difficult airway/intubation occurs in the OR the anesthesiologist needs rescue techniques and equipment. The algorithms about management of the difficult airway don't provide adequate...
To develop and pilot test feasibility, acceptability, and efficacy of an adjunct intervention for use with Empirically Based Treatments (EBT) for posttraumatic stress disorder (PTSD) in or...
This will be an exploratory observational trial of rescue acupuncture for the treatment of acute migraine in military beneficiaries to gain information to inform the power analysis of a la...
This study is a prospective, open-label, multi-center, registry study, designed to show that rescue stenting is safe and effective for emergency large vessel occlusion (ELVO) patients who ...
Successful H. pylori eradication therapy remains a challenge in medical practice. Despite promising data for first-line, second-line and rescue treatment options based on clinical trials a...
A study that uses observations at multiple time points before and after an intervention (the "interruption"), in an attempt to detect whether the intervention has had an effect significantly greater than any underlying trend over time.
Activities devoted to freeing persons or animals from danger to life or well-being in accidents, fires, bombings, floods, earthquakes, other disasters and life-threatening conditions. While usually performed by team efforts, rescue work is not restricted to organized services.
A set of statistical methods used to group variables or observations into strongly inter-related subgroups. In epidemiology, it may be used to analyze a closely grouped series of events or cases of disease or other health-related phenomenon with well-defined distribution patterns in relation to time or place or both.
A class of statistical procedures for estimating the survival function (function of time, starting with a population 100% well at a given time and providing the percentage of the population still well at later times). The survival analysis is then used for making inferences about the effects of treatments, prognostic factors, exposures, and other covariates on the function.
Techniques which study entities using their topological, geometric, or geographic properties and include the dimension of time in the analysis.