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Multivariate logistic regression analysis of risk factors for birth defects: a study from population-based surveillance data
ObjectiveTo explore risk factors for birth defects (including a broad range of specific defects).
MethodsData were derived from the Population-based...
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Bayesian multilevel multivariate logistic regression for superiority decision-making under observable treatment heterogeneity
BackgroundIn medical, social, and behavioral research we often encounter datasets with a multilevel structure and multiple correlated dependent...
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Relationship between lipid metabolism, coagulation and other blood indices and etiology and staging of non-traumatic femoral head necrosis: a multivariate logistic regression-based analysis
BackgroundTo analyze the relationship between lipid metabolism, coagulation function, and bone metabolism and the contributing factor and staging of...
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When is a staging scan required for newly diagnosed brain lesions on CT? A multivariate logistic regression analysis
PurposeFor patients with a new lesion on CT head (CTH) suspected to be a brain tumor, a staging chest, abdomen, and pelvis CT (CTCAP) is only...
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Incorporation of CEUS and SWE parameters into a multivariate logistic regression model for the differential diagnosis of benign and malignant TI-RADS 4 thyroid nodules
PurposeTo investigate the diagnostic value of contrast-enhanced ultrasound (CEUS) quantitative analysis parameters combined with shear wave...
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Ultrasound parameters associated with stroke in patients with moyamoya disease: a logistic regression analysis
BackgroundMoyamoya disease can lead to stroke with devastating consequences, it is necessary to find a non-invasive and effective approach to...
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Demographic Covariates, Vocational Rehabilitation Services, and Employment Outcomes of Working-Age Adults with Anxiety Disorders: A Multivariate Logistic Regression Analysis
PurposeThis study aimed to investigate the relationships between demographic covariates, vocational rehabilitation (VR) services, and employment...
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Modern contraceptive method utilization and determinant factors among women in Ethiopia: Multinomial logistic regression mini- EDHS-2019 analysis
BackgroundGlobally, approximately 290,000 women between the ages of 15 and 49 died from pregnancy-related problems in 2014 alone, with these...
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Assessment of Ki-67 expression levels in IDH-wildtype glioblastoma using logistic regression modelling of VASARI features
To investigate the value of using VASARI signs preoperatively to assess Ki-67 proliferation index levels in patients with IDH-wildtype glioblastoma...
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A Scoring System That Predicts Difficult Lipoma Resection: Logistic Regression and Tenfold Cross-Validation Analysis
IntroductionMost lipomas are readily dissected and removed. However, some cases can pose surgical difficulties. This retrospective study sought to...
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Determinants associated with internet gaming disorder in female medical students: a logistic regression analysis using a random sampling survey
BackgroundInternet gaming disorder (IGD) is a momentously growing issue of all ages, and medical students are not immune from the ever-increasing...
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Logistic regression and other statistical tools in diagnostic biomarker studies
A biomarker is a measured indicator of a variety of processes, and is often used as a clinical tool for the diagnosis of diseases. While the...
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Logistic regression analysis of risk factors for intra-abdominal hypertension after giant ventral hernia repair: a retrospective cohort study
BackgroundIntra-abdominal hypertension (IAH) is a classical complication after giant ventral hernia surgery and may lead to abdominal compartment...
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Adjusting for Berkson error in exposure in ordinary and conditional logistic regression and in Poisson regression
BackgroundINTEROCC is a seven-country cohort study of occupational exposures and brain cancer risk, including occupational exposure to...
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Spatial disparity and associated factors of diarrhea among under-five children in Rwanda: a multilevel logistic regression analysis
BackgroundDiarrhea, defined as three or more loose stool per day, is a major cause of child mortality. Exploring its spatial distribution,...
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Applying LASSO logistic regression for the prediction of biliary complications after ex vivo liver resection and autotransplantation in patients with end-stage hepatic alveolar echinococcosis
BackgroundThe purpose of this study was to explore the relevant risk factors associated with biliary complications (BCs) in patients with end-stage...
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Differential diagnosis of atypical and anaplastic meningiomas based on conventional MRI features and ADC histogram parameters using a logistic regression model nomogram
The purpose of the study was to determine the value of a logistic regression model nomogram based on conventional magnetic resonance imaging (MRI)...
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Multiple logistic regression model to predict bile leak associated with subtotal cholecystectomy
BackgroundThere are no prediction models for bile leakage associated with subtotal cholecystectomy (STC). Therefore, this study aimed to generate a...
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Trends of infant mortality and its determinants in Ethiopia: mixed-effect binary logistic regression and multivariate decomposition analysis
BackgroundInfant mortality remains a serious global public health problem. The global infant mortality rate has decreased significantly over time,...
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Modeling the diagnosis of coronary artery disease by discriminant analysis and logistic regression: a cross-sectional study
PurposeCoronary artery disease (CAD) is one of the most significant cardiovascular diseases that requires accurate angiography to diagnose....
