Results 111 to 120 of about 12,925 (288)

Self‐Reported Versus Objectively Logged Social Media Use: Implications for Measurement in Eating Disorder Research

International Journal of Eating Disorders, EarlyView.
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, Emma Halliwell, Harish Kannan, Ben Stone, Wesley Grey, Noa Brittain, Eden Shaveet, Emily Harris   +7 more
wiley   +1 more source

Changes in Eating Disorder Symptoms in Perinatal US Military Servicewomen

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective The perinatal period is a window of exacerbated vulnerability for eating disorder symptoms. Moreover, US military servicewomen represent a population at increased risk for eating disorder psychopathology relative to civilians.
Katherine A. Thompson, Ruby Schrag, Angelina‐Rose J. Thalheimer, Autumn Mains, Stephanie Rioux, Victoria Thomas, Zoe Sinkford, David A. Klein, Mark Haigney, Marian Tanofsky‐Kraff, Jason M. Lavender   +10 more
wiley   +1 more source

The Ridge-Hurdle Negative Binomial Regression Model: A Novel Solution for Zero-Inflated Counts in the Presence of Multicollinearity

Stats
Datasets with many zero outcomes are common in real-world studies and often exhibit overdispersion and strong correlations among predictors, creating challenges for standard count models.
HM Nayem, B. M. Golam Kibria
doaj   +1 more source

Results of the analysis using zero inflated negative binomial model (ZINB) model.

, 2020
Results of the analysis using zero inflated negative binomial model (ZINB) model.
Patrick Shea (2652064), Caroline Chisenga (7136924), Victor Mukonka (344847), David Sack (148746), Orbrie Chewe (7329638), John Mwaba (4720485), Geoffrey Kwenda (6760319), Roma Chilengi (95946), Mohammad Ali (73095), Michelo Simuyandi (634492), Amanda K. Debes (8713959)   +10 more
core   +1 more source

Citizen science deepens the ecological and climatic dimensions of mosquito surveillance

Ecography, EarlyView.
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, John R. B. Palmer, Frederic Bartumeus   +2 more
wiley   +1 more source

Transcriptomic signatures reveal systemic adaptations and immune modulation in response to training and competitive racing in horses

Equine Veterinary Journal, EarlyView.
Abstract Background The molecular mechanisms underlying adaptation to physical exertion and racing stress in horses remain incompletely understood. Peripheral blood transcriptomics offers a minimally invasive method to monitor systemic responses to exercise and identify biomarkers of adaptation or overload. Objectives To evaluate transcriptomic changes
Izabela Dąbrowska, Jowita Grzędzicka‐Agko, Paula Kiełbik, Michał Trela, Olga Witkowska‐Piłaszewicz   +4 more
wiley   +1 more source

What happened after the epidemic? Equine influenza surveillance sheds light on sources and seasonal risk in the United Kingdom

Equine Veterinary Journal, EarlyView.
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, John Grewar, Richard Newton   +2 more
wiley   +1 more source

Zero-Inflated Ordinal Mixed-Effects Models

, 2022
Excess zeros issues are very common in count data. Furthermore, when different type of zero sources are suspected in the data, zero-inflated models, such as zero-inflated Poisson model and zero-inflated Negative Binomial model, are commonly used in ...
Naijun Chen (2720566)
core   +1 more source

Government affiliation and innovation in emerging market firms: The role of international diversification

Global Strategy Journal, EarlyView.
Abstract Research Summary This study examines how international diversification interacts with government affiliation to shape innovation outcomes in emerging market firms. We reconceptualize government affiliation as a resource‐structuring mechanism that varies across hierarchical levels and influences the coherence of firms' dominant logics of ...
Danielle R. Combs, Fiona Kun Yao, Chunlin Liu, Ting Xiao   +3 more
wiley   +1 more source

Application of zero-inflated negative binomial mixed model to human microbiota sequence data

, 2014
Identification of the majority of organisms present in human-associated microbial communities is feasible with the advent of high throughput sequencing technology.
Brandie Wagner, J. Kirk Harris, Sophie A Fillon, Rui Fang   +3 more
core   +1 more source