Results 71 to 80 of about 22,911 (304)
DREAMSeq: An Improved Method for Analyzing Differentially Expressed Genes in RNA-seq Data
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
doaj +1 more source
ABSTRACT Objective Self‐reported frequency measures of social media use (e.g., “How often do you use social media?”) are convenient, yet their criterion validity against objective behavioral data remains largely untested in eating disorder research. We compared self‐reports of TikTok use with objective data extracted from TikTok datafiles.
Scott Griffiths +7 more
wiley +1 more source
Modeling tuberculosis in children under five using poisson and negative binomial regression
Tuberculosis is an infectious disease caused by Mycobacterium tuberculosis. Indonesia is the country with the second highest number of tuberculosis cases after India.
Ahmad Fajri +3 more
doaj +1 more source
Citizen science deepens the ecological and climatic dimensions of mosquito surveillance
As mosquito‐borne diseases continue to expand worldwide, integrating citizen science into vector surveillance presents untapped potential. This study compares ecological models of Aedes albopictus, an invasive mosquito and global vector of dengue and other arboviruses, in Spain (2020–2022), using two contrasting data sources: traditional traps and ...
Catuxa Cerecedo‐Iglesias +2 more
wiley +1 more source
Statistical models for over-dispersion in the frequency of peaks over threshold data for a flow series. [PDF]
In a peaks over threshold analysis of a series of river flows, a sufficiently high threshold is used to extract the peaks of independent flood events. This paper reviews existing, and proposes new, statistical models for both the annual counts of such ...
Tawn, Jonathan A. +3 more
core +1 more source
Models for Overdispersed Data in Entomology
Entomological data are often overdispersed, characterised by a larger variance than assumed by simple standard models. It is important to model overdispersion properly in order to avoid incorrect and misleading inferences. Outcomes of interest are often in the form of counts or proportions and we present extended models that incorporate overdispersion,
Demétrio, Clarice G. B. +2 more
openaire +1 more source
Steering Industrial Decarbonisation: Explaining OECD Policy Variation
ABSTRACT The ongoing rise in CO2 emissions driven by energy‐intensive industries highlights the urgent need for targeted policy interventions, with national strategies playing a crucial role in the low‐carbon transition. However, the factors that shape the ambition of industrial decarbonisation policies remain poorly understood.
Ebba Minas
wiley +1 more source
The beta-binomial model that is generated by a simple mixture model has been commonly applied in the health, physical, and social sciences. In clinical and public health, overdispersion occurs due to biological variation between the subjects of interest.
Hanaw Ahmed Amin, Rando Rasul Qadir
doaj +1 more source
Abstract Objective This study was undertaken to evaluate whether seizure freedom in pregnancy predicts seizure freedom in the postpartum period in women with epilepsy (WWE). Prior studies have shown that seizure freedom prior to conception strongly predicts seizure freedom during pregnancy.
Emma C. Osterhaus +7 more
wiley +1 more source
Abstract Background The epidemiology of equine influenza (EI) in the United Kingdom has not been systematically described since the 2019 epidemic. Objectives To summarise UK EI surveillance (2020–2024), quantify outbreak seasonality and assess movement‐related sources. Study Design Retrospective observational analysis of national surveillance and horse
Fleur Whitlock +2 more
wiley +1 more source

