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Estimating overdispersion in sparse multinomial data [PDF]
Biometrics, 2019 AbstractMultinomial data arise in many areas of the life sciences, such as mark‐recapture studies and phylogenetics, and will often by overdispersed, with the variance being higher than predicted by a multinomial model. The quasi‐likelihood approach to modeling this overdispersion involves the assumption that the variance is proportional to that ...
Farzana Afroz +2 more
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Endemicity of chytridiomycosis features pathogen overdispersion [PDF]
Journal of Animal Ecology, 2016 SummaryPathogens can be critical drivers of the abundance and distribution of wild animal populations. The presence of an overdispersed pathogen load distribution between hosts (where few hosts harbour heavy parasite burdens and light infections are common) can have an important stabilizing effect on host–pathogen dynamics where infection intensity ...
Laura F. Grogan +7 more
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ISPRS International Journal of Geo-Information, 2020 Negative binomial (NB) regression model has been used to analyze crime in previous studies. The disadvantage of the NB model is that it cannot deal with spatial effects.
Jianguo Chen +4 more
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E-Jurnal Matematika, 2013 Poisson regression can be used to analyze count data, with assuming equidispersion. However, in the case of overdispersion often occur in the count data.
DESAK PUTU PRAMI MEITRIANI +2 more
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Estimation Parameters And Modelling Zero Inflated Negative Binomial
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2016 Regression analysis is used to determine relationship between one or several response variable (Y) with one or several predictor variables (X). Regression model between predictor variables and the Poisson distributed response variable is called Poisson ...
Cindy Cahyaning Astuti +1 more
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DREAMSeq: An Improved Method for Analyzing Differentially Expressed Genes in RNA-seq Data
Frontiers in Genetics, 2018 RNA sequencing (RNA-seq) has become a widely used technology for analyzing global gene-expression changes during certain biological processes. It is generally acknowledged that RNA-seq data displays equidispersion and overdispersion characteristics ...
Zhihua Gao +3 more
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Lockdowns exert selection pressure on overdispersion of SARS-CoV-2 variants
Epidemics, 2022 The SARS-CoV-2 ancestral strain has caused pronounced superspreading events, reflecting a disease characterized by overdispersion, where about 10% of infected people cause 80% of infections.
Bjarke Frost Nielsen +3 more
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Understanding the Overdispersed Molecular Clock [PDF]
Genetics, 2000 Abstract Rates of molecular evolution at some protein-encoding loci are more irregular than expected under a simple neutral model of molecular evolution. This pattern of excessive irregularity in protein substitutions is often called the “overdispersed molecular clock” and is characterized by an index of dispersion, R(T) > 1 ...
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On the Overdispersed Molecular Clock [PDF]
Genetics, 1987 ABSTRACT Rates of molecular evolution at some loci are more irregular than described by simple Poisson processes. Three situations under which molecular evolution would not follow simple Poisson processes are reevaluated from the viewpoint of the neutrality hypothesis: (i) concomitant or multiple substitutions in a gene, (ii) fluctuating
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Arthritis Care &Research, EarlyView.Objective This study aimed to determine if program format (in‐person, virtual, or hybrid) results in differences in 3‐month outcomes of pain, function, quality of life, self‐efficacy, and chair stands in a hip/knee osteoarthritis‐management program. Methods A secondary analysis of the Good Life with osteoArthritis in Denmark (GLA:D) Canada database was
Jill Van Damme +7 more
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