Results 101 to 110 of about 83,760 (250)

Copula‐based joint modelling of emergency department visits with time‐varying dependence

Canadian Journal of Statistics, EarlyView.
Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley   +1 more source

MODELING LONGITUDINAL FLOOD DATA IN WEST SUMATRA USING THE GENERALIZED ESTIMATING EQUATION (GEE) APPROACH

Barekeng
Flooding is one of the many natural disasters that often hit Indonesia. In July 2023, three areas in West Sumatra experienced floods and landslides which caused damages and even 2 missing victims.
Alfi Nur Nitasari, Andini Sa'idah, Nurin Faizun, Kezia Eunike Darmawan, Marfa Audilla Fitri, Nur Chamidah   +5 more
doaj   +1 more source

Development of a personalized fall rate prediction model in community-dwelling older adults: a negative binomial regression modelling approach. [PDF]

BMC Geriatr, 2023
Wapp C, Biver E, Ferrari S, Zysset P, Zwahlen M.   +4 more
europepmc   +1 more source

Skin Shade Discrimination Is Associated With Disordered Weight Control Behaviors in Hong Kong, Malaysia, Singapore, and Thailand

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Emerging evidence indicates that experiencing discrimination is associated with disordered eating. This study aimed to test the association between experiences of colorism (skin shade discrimination penalizing those with darker skin) and the prevalence of disordered weight control behaviors (DWCBs) in four Asian countries/regions ...
Nadia Craddock, S. Bryn Austin, Flora Or, Wipada Rodtanaporn, Paul White, Sook Ning Chua   +5 more
wiley   +1 more source

Bayesian negative binomial regression with spatially varying dispersion: Modeling COVID-19 incidence in Georgia. [PDF]

Spat Stat, 2022
Mutiso F, Pearce JL, Benjamin-Neelon SE, Mueller NT, Li H, Neelon B.   +5 more
europepmc   +1 more source

Safe and Sound: Is Safeness a Specific Affective Dimension Related to Eating Disorder Behaviors?

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Safeness is a warm, soothing emotional state that is often experienced in the presence of close others. Safeness is thought to be distinct from other positive emotions or the absence of negative emotions and is shown to predict mental health variables over and above other emotions.
Ege Bicaker, Alexia E. Miller, Vittoria Trolio, Sarah E. Racine   +3 more
wiley   +1 more source

The Association of Demographic and Clinical Factors with the Frequency of Restenosis in Patients Undergoing Angioplasty Using Negative Binomial Regression

مجله اپیدمیولوژی ایران, 2016
Background and Objectives: One of the main concerns of heart specialists is the occurrence of restenosis after coronary angioplasty which can lead to coronary artery bypass graft, myocardial infarction, and death.
J Nasseryan, E Hajizadeh, A Rasekhi, H Ahangar   +3 more
doaj  

Marginal modeling in community randomized trials with rare events: Utilization of the negative binomial regression model. [PDF]

Clin Trials, 2022
Westgate PM, Cheng DM, Feaster DJ, Fernández S, Shoben AB, Vandergrift N.   +5 more
europepmc   +1 more source

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

New robust estimators for the fixed effects negative binomial model: a simulation and real-world applications to European panel data

Frontiers in Applied Mathematics and Statistics
This study introduces a more flexible approach by employing the fixed effects negative binomial model to address challenges associated with outliers and dispersion.
Mohamed R. Abonazel, Ehab Ebrahim Mohamed Ebrahim, Elsayed G. Ahmed, Amera M. El-Masry   +3 more
doaj   +1 more source