Results 31 to 40 of about 4,654,667 (290)

An empirical comparison of methods for analyzing over-dispersed zero-inflated count data from stratified cluster randomized trials

Contemporary Clinical Trials Communications, 2020
Background: The assessment of methods for analyzing over-dispersed zero inflated count outcome has received very little or no attention in stratified cluster randomized trials. In this study, we performed sensitivity analyses to empirically compare eight
Sayem Borhan, Courtney Kennedy, George Ioannidis, Alexandra Papaioannou, Jonathan Adachi, Lehana Thabane   +5 more
doaj   +1 more source

Bayesian negative binomial logit hurdle and zero-inflated model for characterizing smoking intensity

Journal of Big Data, 2021
Smoking invariably has environmental, social, economic and health consequences in Ethiopia. Reducing and quitting cigarette smoking improves individual health and increases available household funds for education, food and better economic productivity ...
Mekuanint Simeneh Workie, Abebaw Gedef Azene   +1 more
doaj   +1 more source

Zero-inflated negative binomial regression.

, 2018
Zero-inflated negative binomial regression.
Nick Scott (837353), David P. Wilson (115579), Brett Sutton (5410199), Margaret E. Hellard (382375), Samuel W. Hainsworth (5410202), Paul M. Dietze (4057219)   +5 more
core   +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

Modeling Tetanus Neonatorum case using the regression of negative binomial and zero-inflated negative binomial

Journal of Physics: Conference Series, 2017
Tetanus Neonatorum is an infectious disease that can be prevented by immunization. The number of Tetanus Neonatorum cases in East Java Province is the highest in Indonesia until 2015. Tetanus Neonatorum data contain over dispersion and big enough proportion of zero-inflation.
Luthfatul Amaliana, Umu Sa’adah, Ni Wayan Surya Wardhani   +2 more
openaire   +1 more source

Zero-inflated negative binomial regression analysis for the number of intubation and mechanical ventilation days for patients who were admitted in ICU or death.

, 2021
Zero-inflated negative binomial regression analysis for the number of intubation and mechanical ventilation days for patients who were admitted in ICU or death.
H. C. M. Donders (9853537), N. Su (6690800), J. de Lange (9853552), N. Zhou (6515300), J. P. T. F. Ho (11442080), K. Schipper (3573107)   +5 more
core   +1 more source

Zero-Inflated Ordinal Mixed-Effects Models [PDF]

, 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

Poisson and negative binomial regression models for zero-inflated data: an experimental study [PDF]

, 2022
Count data regression has been widely used in various disciplines, particularly health area. Classical models like Poisson and negative binomial regression may not provide reasonable performance in the presence of excessive zeros and overdispersion ...
Yıldırım, Gizem
core   +2 more sources

Zero-inflated negative binomial multivariable model of number of decayed teeth (DT) (N = 312).

, 2016
Zero-inflated negative binomial multivariable model of number of decayed teeth (DT) (N = 312).
Stephen S. Dominy (549343), Anna-Barbara Moscicki (232529), Tzy-Jyun Yao (2833829), Russell B. Van Dyke (2833826), George R. Seage III (250740), Rohan Hazra (1996294), Kunjal Patel (497094), Matt McKenna (2833832), Mark I. Ryder (167587), Jonathan S. Russell (2833835)   +9 more
core   +1 more source

The Zero Inflated Negative Binomial - Shanker distribution and its application to HIV exposed infant data [PDF]

, 2020
A Thesis submitted in partial fulfillment of the requirements for the Degree of Master of Science in Statistical Sciences (MSc. SS) at Strathmore UniversityMotivated by HIV exposed infants (HEI) sero-conversion data, we provide an extension of Zero ...
Kibika, Stella Andia
core   +1 more source