Results 61 to 70 of about 79,690 (134)

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

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  

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

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

Risk Factors Influencing the Severity of Cognitive Decline in Elderly Taxi Drivers Over 65 Years of Age: Applying a Zero-Inflated Negative Binomial Regression Model. [PDF]

Iran J Public Health, 2023
Ok JS, Kim H, Kang K, Myong JP, Heo JH.
europepmc   +1 more source

Weather based forewarning model for cotton pests using zero-inflated and hurdle regression models

Journal of Agrometeorology
Early forewarning of crop pest based on weather variables provides lead time to manage impending pest attacks that minimize crop loss, decrease the cost of pesticides and enhance the crop yield.
N. NARANAMMAL, S.R. KRISHNA PRIYA
doaj   +1 more source

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

Comparing Some Negative Binomial Regression with Simulation

Salud, Ciencia y Tecnología - Serie de Conferencias
This paper presented a comprehensive comparative study of various negative binomial regression models using simulation techniques. Negative binomial regression models are widely employed in statistical analyses, particularly in situations involving count data with over dispersion.
Zahraa AbdulAmeer Ali AL-Mosawy, Nadia Abed Habeeb   +1 more
openaire   +1 more source

HANDLING OF OVERDISPERSION CASES IN MORBIDITY DATA IN SELUMA REGENCY

Media Statistika
The problem of overdispersion as a violation of the assumption of equidispersion in Poisson regression is generally caused by  sources of unobserved heterogeneity, missing observations on predictor variables, outliers in the data, errors in the ...
Mey Yanti Sarumpaet, Sigit Nugroho, Ramya Rachmawati   +2 more
doaj   +1 more source

Bayesian negative binomial regression model with unobserved covariates for predicting the frequency of north atlantic tropical storms. [PDF]

J Appl Stat, 2023
Li X, Ghosh J, Villarini G.
europepmc   +1 more source