Results 41 to 50 of about 213,890 (318)
A Flexible Mixed Model for Clustered Count Data
Clustered count data are commonly modeled using Poisson regression with random effects to account for the correlation induced by clustering. The Poisson mixed model allows for overdispersion via the nature of the within-cluster correlation, however ...
Darcy Steeg Morris, Kimberly F. Sellers
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A spatial mixed Poisson framework for combination of excess-of-loss and proportional reinsurance contracts [PDF]
In this paper a purely theoretical reinsurance model is presented, where the reinsurance contract is assumed to be simultaneously of an excess-of-loss and of a proportional type. The stochastic structure of the set of pairs (claim’s arrival time, claim’s
Cerqueti, R +9 more
core +1 more source
Models for Rates with Poisson Errors
In a recent paper, Frome (1983) described the fitting of models with Poisson errors and data in the form of rates. Some of the models considered are log-linear and hence can be fitted simply by GLIM or by any package that handles log-linear models; some are not and require either special treatment in GLIM or the use of a program that handles iterative ...
J. A. Nelder, E. L. Frome
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Modelling Negative Binomial as a substitute model to Poisson for raters agreement on ordinal scales with sparse data [PDF]
The Poisson distribution has been widely used for modelling rater agreement using loglinear models. Mostly in all life or social science researches, subjects are being classified into categories by rater, interviewers or observers and most of these ...
Toutenburg, Helge +2 more
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A Random-Effects Log-Linear Model with Poisson Distributions
In several applications data are grouped and there are within-group correlations. With continuous data, there are several available models that are often used; with counting data, the Poisson distribution is the natural choice. In this paper a mixed log-
Maria Alexandra Seco, António St. Aubyn
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On the AKSZ Formulation of the Poisson Sigma Model [PDF]
We review and extend the Alexandrov–Kontsevich–Schwarz–Zaboronsky construction of solutions of the Batalin–Vilkovisky classical master equation. In particular, we study the case of sigma models on manifolds with boundary. We show that a special case of this construction yields the Batalin–Vilkovisky action functional of the Poisson sigma model on a ...
Cattaneo Alberto S., Felder Giovanni
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Simulating the tail of the interference in a Poisson network model [PDF]
Interference among simultaneous transmissions represents the main limitation factor for the capacity and connectivity of dense wireless networks. In this paper we provide efficient simulation laws for the tail of the interference in a simple wireless ad ...
Torrisi, G.L. +2 more
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IntroductionSince its emergence in Burkina Faso in March 2020, the COVID-19 epidemic has undergone several shifts in its trajectory. These fluctuations have been influenced by government control measures, socio-economic dynamics, and biological mutations
Serge M. A. Somda +5 more
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Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen +11 more
wiley +1 more source
Radiotherapy (RT) response depends on the DNA repair capacity of tumor and host cells. We show that circulating tumor cell (CTC) counts and apoptosis rates before and after RT predict treatment response and outcome, which can be accessed via easily accessible liquid biopsy approaches. Created in BioRender. Wikman, H.
Yvonne Goy +10 more
wiley +1 more source

