BACKGROUND Cognitive reactivity to sad mood is a vulnerability marker of depression. Implicit self-depressed associations are related to depression status and reduced remission probability. It is unknown whether these cognitive vulnerabilities precede the first onset of depression. AIM To test the predictive value of cognitive reactivity and implicit self-depressed associations for the incide...

BACKGROUND The hand foot and mouth disease (HFMD) is a human syndrome caused by intestinal viruses like that coxsackie A virus 16, enterovirus 71 and easily developed into outbreak in kindergarten and school. Scientifically and accurately early detection of the start time of HFMD epidemic is a key principle in planning of control measures and minimizing the impact of HFMD. The objective of this...

The paper investigates a discrete time Binomial risk model with different types of polices and shock events may influence some the claim sizes. It is shown that this can be considered as particular case classical compound model. As far we work parallel counting processes in infinite time, if consider them independent, probability event they to have at least once simultaneous jumps would equal o...

The Poisson regression model is a simple count data that combines models in which the response variable form of counts rather than fractional numbers generalized linear (GLMs) . Three (Poisson regression, quasi-Poisson and negative binomial regression) were compared r packages applied to sample COVID-19 this study. was shown be best most efficient other models.

This work is about assessing model adequacy for negative binomial (NB) regression, particularly (1) assessing the adequacy of the NB assumption, and (2) assessing the appropriateness of models for NB dispersion parameters. Tools for the first are appropriate for NB regression generally; those for the second are primarily intended for RNA sequencing (RNA-Seq) data analysis. The typically small n...

Author Contact: Glen Roberts c/o David E. Giles, Dept. of Economics, University of Victoria, P.O. Box 1700, STN CSC, Victoria, B.C., V8W 2Y2, Canada; email: [email protected] (cc: [email protected]); FAX: (250) 721-6214 Abstract We model summer Olympic medal counts using count data analysis. The advantage of this methodology is its explicit recognition of the discrete non-negative form of the dependent...

Abstract One-parameter link functions play a fundamental role in regression via generalized linear modelling. This paper develops the general theory for two -parameter links very large class of vector models by using total derivatives applied to composite log-likelihood within Fisher scoring/iteratively reweighted least squares algorithm. We solve four-decade old problem with an interesting his...

BACKGROUND Dengue fever (DF) is a growing public health problem in Vietnam. The disease burden in Vietnam has been increasing for decades. In Hanoi, in contrast to many other regions, extrinsic drivers such as weather have not been proved to be predictive of disease frequency, which limits the usefulness of such factors in an early warning system. AIMS The purpose of this research was to revi...

Zero-inflated models for count data are becoming quite popular nowadays and are found in many application areas, such as medicine, economics, biology, sociology and so on. However, in practice these counts are often prone to measurement error which in this case boils down to misclassification. Methods to deal with misclassification of counts have been suggested recently, but only for the binomi...

Joint damage in psoriatic arthritis can be measured by clinical and radiological methods, the former being done more frequently during longitudinal follow-up of patients. Motivated by the need to compare findings based on the different methods with different observation patterns, we consider longitudinal data where the outcome variable is a cumulative total of counts that can be unobserved when...