Results 11 to 20 of about 6,102,677 (302)

Too many zeros and/or highly skewed? A tutorial on modelling health behaviour as count data with Poisson and negative binomial regression. [PDF]

Health Psychol Behav Med, 2021
Green JA.
europepmc   +2 more sources

OVERDISPERSION HANDLING IN POISSON REGRESSION MODEL BY APPLYING NEGATIVE BINOMIAL REGRESSION

Barekeng, 2023
Statistical analysis that can be used if the response variable is quantified data is Poisson regression, assuming that the assumption must be met equidispersion, where the average response variable is the same as the standard deviation value.
Yesan Tiara, Muhammad Nur Aidi, Erfiani Erfiani, Rika Rachmawati   +3 more
doaj   +1 more source

POISSON REGRESSION MODELS TO ANALYZE FACTORS THAT INFLUENCE THE NUMBER OF TUBERCULOSIS CASES IN JAVA

Barekeng, 2023
Tuberculosis is an infectious disease and one of the world's top 10 highest causes of mortality in Indonesia. Based on this fact, it is necessary to study what factors affect number of tuberculosis cases.
Yekti Widyaningsih, Zalfa Alifah Budiawan   +1 more
doaj   +1 more source

Multiple inflated negative binomial regression for correlated multivariate count data

Dependence Modeling, 2022
This article aims to provide a method of regression for multivariate multiple inflated count responses assuming the responses follow a negative binomial distribution.
Mathews Joseph, Bhattacharya Sumangal, Sen Sumen, Das Ishapathik   +3 more
doaj   +1 more source

Estimating Disease Risk Using Lorenz Curve and Negative Binomial Regression [PDF]

المجلة المصرية للسکـان وتنظيم الأسرة, 2004
The paper proposes a parametric approach to estimate the Lorenz curve and the Gini index in the context of describing exposure-disease association. Nonparametric bootstrap statistical inference method is employed for generating estimates of statistical ...
Ibrahim M. Abdallah
doaj   +1 more source

Negative binomial regression model outputs.

, 2022
Negative binomial regression model outputs.
Larissa H. Unruh (12551529), Kenneth Soyemi (556106), Yinglin Xia (48979), Sadhana Dharmapuri (12551532)   +3 more
core   +1 more source

A comparison of statistical methods for modeling count data with an application to hospital length of stay

BMC Medical Research Methodology, 2022
Background Hospital length of stay (LOS) is a key indicator of hospital care management efficiency, cost of care, and hospital planning. Hospital LOS is often used as a measure of a post-medical procedure outcome, as a guide to the benefit of a treatment
Gustavo A. Fernandez, Kristina P. Vatcheva   +1 more
doaj   +1 more source

Results of negative binomial regression.

, 2022
Results of negative binomial regression.
Ashraf Simi (12256535), Mohammad M. Sajadi (9592011), Iman Hafizi-Rastani (12256538), Konstantin Chumakov (799919), Mahboobeh Yadollahie (12256532), Kristen Stafford (6888056), Shyamasundaran Kottilil (424482), Farrokh Habibzadeh (12256529), Robert C. Gallo (12256541)   +8 more
core   +1 more source

Delta Boosting Implementation of Negative Binomial Regression in Actuarial Pricing

Risks, 2020
This study proposes an efficacious approach to analyze the over-dispersed insurance frequency data as it is imperative for the insurers to have decisive informative insights for precisely underwriting and pricing insurance products, retaining existing ...
Simon CK Lee
doaj   +1 more source

NEGATIVE BINOMIAL REGRESSION AND GENERALIZED POISSON REGRESSION MODELS ON THE NUMBER OF TRAFFIC ACCIDENTS IN CENTRAL JAVA

Barekeng, 2022
Traffic accidents that always increase along with the increasing population growth and the number of vehicles impact the national economy. The number of traffic accidents is a count data that a Poisson distribution can approximate. The Poisson regression
M Al Haris, Prizka Rismawati Arum
doaj   +1 more source