Predictors and number of antenatal care visits among reproductive age women in Sub-Saharan Africa further analysis of recent demographic and health survey from 2017-2023: Zero-inflated negative binomial regression. [PDF]
Endawkie A +3 more
europepmc +2 more sources
Risk Factors Influencing Cyberbullying Perpetration among Middle School Students in Korea: Analysis Using the Zero-Inflated Negative Binomial Regression Model. [PDF]
This cross-sectional descriptive study identified risk factors and predictors related to the perpetration of and potential for cyberbullying among adolescents, respectively. The analysis included a zero-inflated negative binomial regression model.
Kang KI, Kang K, Kim C.
europepmc +2 more sources
Factors related to baseline CD4 cell counts in HIV/AIDS patients: comparison of poisson, generalized poisson and negative binomial regression models. [PDF]
Objective CD4 Lymphocyte Count (CD4) is a major predictor of HIV progression to AIDS. Exploring the factors affecting CD4 levels may assist healthcare staff and patients in management and monitoring of health cares.
Farhadian M +3 more
europepmc +2 more sources
A negative binomial regression model for risk estimation of 0-2 axillary lymph node metastases in breast cancer patients. [PDF]
Zeng +6 more
europepmc +3 more sources
POISSON REGRESSION MODELS TO ANALYZE FACTORS THAT INFLUENCE THE NUMBER OF TUBERCULOSIS CASES IN JAVA
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 +1 more
doaj +1 more source
A Bayesian zero-inflated negative binomial regression model for the integrative analysis of microbiome data. [PDF]
Microbiome omics approaches can reveal intriguing relationships between the human microbiome and certain disease states. Along with identification of specific bacteria taxa associated with diseases, recent scientific advancements provide mounting ...
Jiang S +5 more
europepmc +3 more sources
Multiple inflated negative binomial regression for correlated multivariate count data
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 +3 more
doaj +1 more source
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 +1 more
doaj +1 more source
Background Fractures are rare events and can occur because of a fall. Fracture counts are distinct from other count data in that these data are positively skewed, inflated by excess zero counts, and events can recur over time.
Anower Hossain +5 more
doaj +1 more source

