2 resultados para idiosyncratic volatility

em DigitalCommons@The Texas Medical Center


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Severe liver injury (SLI) due to drugs is a frequent cause of catastrophic illness and hospitalization. Due to significant morbidity, mortality, and excess medical care costs, this poses a challenge as a public health problem. The role of associated risk factors like alcohol consumption in contributing to the high mortality remains to be studied. This study was conducted to assess the impact of alcohol use on mortality in IDILI patients, while adjusting for age, gender, race/ethnicity, and education level. The data from this study indicate only a small excess risk of death among IDILI patients using alcohol, but the difference was not statistically significant. The major contribution of this study to the field of public health is that it excludes a large hazard of alcohol consumption on the mortality among idiosyncratic drug induced liver injury (IDILI) patients. ^

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The electroencephalogram (EEG) is a physiological time series that measures electrical activity at different locations in the brain, and plays an important role in epilepsy research. Exploring the variance and/or volatility may yield insights for seizure prediction, seizure detection and seizure propagation/dynamics.^ Maximal Overlap Discrete Wavelet Transforms (MODWTs) and ARMA-GARCH models were used to determine variance and volatility characteristics of 66 channels for different states of an epileptic EEG – sleep, awake, sleep-to-awake and seizure. The wavelet variances, changes in wavelet variances and volatility half-lives for the four states were compared for possible differences between seizure and non-seizure channels.^ The half-lives of two of the three seizure channels were found to be shorter than all of the non-seizure channels, based on 95% CIs for the pre-seizure and awake signals. No discernible patterns were found the wavelet variances of the change points for the different signals. ^