ASYMMETRIC RANDOMLY CENSORED MORTALITY DISTRIBUTION: BAYESIAN FRAMEWORK AND PARAMETRIC BOOTSTRAP WITH APPLICATION TO COVID-19 DATA

Asymmetric Randomly Censored Mortality Distribution: Bayesian Framework and Parametric Bootstrap with Application to COVID-19 Data

This article investigates a survival analysis under randomly censored mortality distribution.From the perspective of frequentist, we derive the point estimations through the method of maximum likelihood estimation.Furthermore, approximate confidence 8 Piece Sectional with Chaise intervals for the parameters are constructed based on the asymptotic d

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Precision grip in congenital and acquired hemiparesis: similarities in impairments and implications for neurorehabilitation - review

Background: Patients with congenital and acquired hemiparesis incur long-term functional deficits, among which the loss of prehension that may impact their functional independence.Identifying, understanding and comparing the underlying mechanisms of prehension impairments represent an opportunity to better adapt neurorehabilitationObjective: The pr

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