Results 11 to 20 of about 57,784 (254)

An epidemiological study of the predictors of multidrug resistance and methicillin resistance among Staphylococcus spp. isolated from canine specimens submitted to a diagnostic laboratory in Tennessee, USA [PDF]

open access: yesPeerJ, 2023
Background Understanding drivers of multidrug resistance (MDR) and methicillin resistance, which have increased among canine staphylococcal isolates, is essential for guiding antimicrobial use practices.
Jennifer Lord   +5 more
doaj   +2 more sources

Developing Students’ Intuition on the Impact of Correlated Outcomes

open access: yesJournal of Statistics and Data Science Education, 2022
While correlated data methods (like random effect models and generalized estimating equations) are commonly applied in practice, students may struggle with understanding the reasons that standard regression techniques fail if applied to correlated ...
Ashley Petersen
doaj   +1 more source

Risk factors for violent behaviors in patients with schizophrenia: 2-year follow-up study in primary mental health care in China

open access: yesFrontiers in Psychiatry, 2023
ObjectiveThe consequences and impact of violent behavior in schizophrenia are often serious, and identification of risk factors is of great importance to achieve early identification and effective management.MethodsThis follow-up study sampled adult ...
Zhuo-Hui Huang   +12 more
doaj   +1 more source

Household food insecurity and cooking energy access in Nigeria: A panel data approach

open access: yesEnergy Nexus, 2023
Access to sources of cooking energy has potential impacts on food security, however, there is a paucity of information and empirical evidence on their linkages.
Adegbenga Emmanuel Adekoya   +9 more
doaj   +1 more source

Multicollinearity and Linear Predictor Link Function Problems in Regression Modelling of Longitudinal Data

open access: yesMathematics, 2023
In the longitudinal data analysis we integrate flexible linear predictor link function and high-correlated predictor variables. Our approach uses B-splines for non-parametric part in the linear predictor component.
Mozhgan Taavoni   +2 more
doaj   +1 more source

Ridge Shrinkage Estimators in Finite Mixture of Generalized Estimating Equations. [PDF]

open access: yesMathematics and Modeling in Finance, 2022
The paper considers the problem of estimation of the parameters in  nite mixture models.In this article, a new method is proposed for of estimation of the parameters in  nite mixture models. Traditionally, the parameter estimation in  nite mixture models
Sajad Nezamdoust, Farzad Eskandari
doaj   +1 more source

Factors associated with mortality from tuberculosis in Iran: an application of a generalized estimating equation-based zero-inflated negative binomial model to national registry data [PDF]

open access: yesEpidemiology and Health, 2019
OBJECTIVES Tuberculosis (TB) is a global public health problem that causes morbidity and mortality in millions of people per year. The purpose of this study was to examine the relationship of potential risk factors with TB mortality in Iran. METHODS This
Fatemeh Sarvi   +4 more
doaj   +1 more source

Risk factors for diarrhea in a cohort of dairy heifer calves reared in individual outdoor hutches in Piraí, Rio de Janeiro, Brazil

open access: yesSemina: Ciências Agrárias, 2016
This study aimed to evaluate the association between diarrhea and risk factors potentially related to diarrhea incidence, such as Cryptosporidium, Giardia, Eimeria and nematode infection, animal age, failure to transfer passive immunity, type of ...
Thais Ferreira Fagundes   +6 more
doaj   +1 more source

A Generalized Estimating Equations Approach for Modeling Spatially Clustered Data

open access: yesAustrian Journal of Statistics, 2021
Clustering in spatial data is very common phenomena in various fields such as disease mapping, ecology, environmental science and so on. Analysis of spatially clustered data should be different from conventional analysis of spatial data because of the ...
Nasrin Lipi   +2 more
doaj   +1 more source

Pathway analysis of rare variants for the clustered phenotypes by using hierarchical structured components analysis

open access: yesBMC Medical Genomics, 2019
Backgrounds Recent large-scale genetic studies often involve clustered phenotypes such as repeated measurements. Compared to a series of univariate analyses of single phenotypes, an analysis of clustered phenotypes can be useful for substantially ...
Sungyoung Lee   +5 more
doaj   +1 more source

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