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Evaluation of negative binomial and zero-inflated negative binomial models for the analysis of zero-inflated count data: application to the telemedicine for children with medical complexity trial
BackgroundTwo characteristics of commonly used outcomes in medical research are zero inflation and non-negative integers; examples include the number...
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Development of a personalized fall rate prediction model in community-dwelling older adults: a negative binomial regression modelling approach
BackgroundAround a third of adults aged 65 and older fall every year, resulting in unintentional injuries in 30% of the cases. Fractures are a...
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Negative log-binomial model with optimal robust variance to estimate the prevalence ratio, in cross-sectional population studies
BackgroundCross-sectional studies are useful for the estimation of prevalence of a particular event with concerns in specific populations, as in the...
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Number of children ever-born and its associated factors among currently married Ethiopian women: evidence from the 2019 EMDHS using negative binomial regression
BackgroundEthiopia’s population is growing at about 2.7% annually with a fertility rate of 4.1 births per woman. However, as per the knowledge of the...
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Methods for meta-analysis and meta-regression of binomial data: concepts and tutorial with Stata command metapreg
BackgroundDespite the widespread interest in meta-analysis of proportions, its rationale, certain theoretical and methodological concepts are poorly...
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Brief Alcohol Interventions are Effective through 6 Months: Findings from Marginalized Zero-inflated Poisson and Negative Binomial Models in a Two-step IPD Meta-analysis
To evaluate and optimize brief alcohol interventions (BAIs), it is critical to have a credible overall effect size estimate as a benchmark....
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A practical recurrence risk model based on Lasso-Cox regression for gastric cancer
IntroductionGastric cancer remains huge cancer threat worldwide. Detecting the recurrence of gastric cancer after treatment is especially important...
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Parametric and non-parametric Poisson regression for modelling of the arterial input function in positron emission tomography
Full quantification of Positron Emission Tomography (PET) requires an arterial input function (AIF) for measurement of certain targets, or using...
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Multilevel Count Regression Analysis of Factors Associated with the Desired Number of Antenatal Care Service Visits in Ethiopia
BackgroundVisiting the desired number of antenatal care services improve the success of maternal health programs in terms of mother and child...
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Changing patterns of climatic risk factors for the transmission of dengue fever in Bangladesh: count model approach
AimDengue fever, caused by the Dengue virus and spread by mosquitoes, is a major public health concern in many parts of the world, including...
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Performance of several types of beta-binomial models in comparison to standard approaches for meta-analyses with very few studies
BackgroundMeta-analyses are used to summarise the results of several studies on a specific research question. Standard methods for meta-analyses,...
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Application of two level count regression modeling on the determinants of fertility among married women in Ethiopia
BackgroundFertility is the element of population dynamics that has a vital contribution toward changing population size and structure over time. The...
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Modeling Monthly Migraine-Day Distributions Using Longitudinal Regression Models and Linking Quality of Life to Inform Cost-Effectiveness Analysis: A Case Study of Fremanezumab in Japanese-Korean Migraine Patients
Background and ObjectivesAs regression approaches have been used more recently to model the effectiveness and health-related quality of life (HRQOL)...
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Socio-environmental predictors of diabetes incidence disparities in Tanzania mainland: a comparison of regression models for count data
BackgroundDiabetes is one of the top four non-communicable diseases that cause death and illness to many people around the world. This study aims to...
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Comparison of different statistical models for the analysis of fracture events: findings from the Prevention of Falls Injury Trial (PreFIT)
BackgroundFractures are rare events and can occur because of a fall. Fracture counts are distinct from other count data in that these data are...
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Influencing factors of multiple adverse outcomes among schizophrenia patients using count regression models: a cross-sectional study
BackgroundSchizophrenia patients have increased risks of adverse outcomes, including violent crime, aggressiveness, and suicide. However, studies of...
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Racial/Ethnic Heterogeneity and Rural-Urban Disparity of COVID-19 Case Fatality Ratio in the USA: a Negative Binomial and GIS-Based Analysis
The 2019 coronavirus disease (COVID-19) has exacerbated inequality in the United States of America (USA). Black, indigenous, and people of color...
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Gaps in HIV and Hepatitis C Testing Among 3486 HIV-Negative Men Who have Sex with Men in Spain in the Era of Highly Effective Antiviral Therapies
High uptake of HIV and hepatitis C (HCV) testing in Gay, bisexual, and other men who have sex with men (GBMSM) is needed to interrupt transmission....
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Map** the stability of febrile illness hotspots in Punjab from 2012 to 2019- a spatial clustering and regression analysis
IntroductionFebrile illnesses (FI) represent a typical spectrum of diseases in low-resource settings, either in isolation or with other common...
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An Overview of Regression Models for Adverse Events Analysis
Over the last few years, several review articles described the adverse events analysis as sub-optimal in clinical trials. Indeed, the context...
