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Multivariate brain-behaviour associations in psychiatric disorders
Map** brain-behaviour associations is paramount to understand and treat psychiatric disorders. Standard approaches involve investigating the...
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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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Multivariate patterns of brain functional connectome associated with COVID-19-related negative affect symptoms
Severe mental health problems with the representation of negative affect symptoms (NAS) have been increasingly reported during the coronavirus...
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Emotion regulation in bipolar disorder type-I: multivariate analysis of fMRI data
BackgroundBipolar disorder type-I (BD-I) patients are known to show emotion regulation abnormalities. In a previous fMRI study using an explicit...
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Analysis of multivariate longitudinal substance use outcomes using multivariate mixed cumulative logit model
Abstract BackgroundLongitudinal assessments of usage are often conducted for multiple substances (e.g., cigarettes, alcohol and marijuana) and...
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Multivariate analysis of PET pharmacokinetic parameters improves inferential efficiency
PurposeIn positron emission tomography quantification, multiple pharmacokinetic parameters are typically estimated from each time activity curve....
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A nomogram based on clinical multivariate factors predicts delayed cure after microvascular decompression for hemifacial spasm
BackgroundThe course of disease after microvascular decompression (MVD) in patients with hemifacial spasm (HFS) is variable. The purpose of this...
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Delayed debridement affects prognosis in patients with purulent flexor tenosynovitis: a retrospective cohort and multivariate analyses
IntroductionPurulent flexor tenosynovitis (PFT) is a severe condition, and many patients report serious postoperative complications such as...
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Neural representations of anxiety in adolescents with anorexia nervosa: a multivariate approach
Anorexia nervosa (AN) is characterized by low body weight, fear of gaining weight, and distorted body image. Anxiety may play a role in the formation...
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Prognostic value of depression and anxiety on colorectal cancer-related mortality: a systematic review and meta-analysis based on univariate and multivariate data
BackgroundDepression and anxiety are common mental disorders in patients with colorectal cancer (CRC); however, it remains unclear whether they are...
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Bayesian modeling of spatially differentiated multivariate enamel defects of the children’s primary maxillary central incisor teeth
BackgroundThe analysis of dental caries has been a major focus of recent work on modeling dental defect data. While a dental caries focus is of major...
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Surprising and novel multivariate sequential patterns using odds ratio for temporal evolution in healthcare
BackgroundPattern mining techniques are helpful tools when extracting new knowledge in real practice, but the overwhelming number of patterns is...
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Causal effects of glycemic traits and endometriosis: a bidirectional and multivariate mendelian randomization study
BackgroundObservational studies have suggested an association between endometriosis and glycemic traits, but causality remains unclear. We used...
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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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Multivariate analyses of immune markers reveal increases in plasma EN-RAGE in first-episode psychosis patients
Immune cells and cytokines are largely recognized as significant factors in the pathophysiology of neuropsychiatric disorders. The possible role of...
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Multivariate analysis of prognostic factors in patients with lip squamous cell carcinoma after surgery
BackgroundLip squamous cell carcinoma (LSCC) was one of the most common cancer types of head and neck tumors. This study aimed to find more...
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Development and Validation of Prediction Model for Neonatal Intensive Care Unit (NICU) Admission Using Machine Learning and Multivariate Statistical Approach
BackgroundThe work aims to provide a method for assessing newborn infants' risk to determine whether they need to be admitted to the NICU before...
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Development of the multivariate administrative data cystectomy model and its impact on misclassification bias
BackgroundMisclassification bias (MB) is the deviation of measured from true values due to incorrect case assignment. This study compared MB when...
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Raman spectroscopy combined with multivariate statistical algorithms for the simultaneous screening of cervical and breast cancers
Breast and cervical cancers are becoming the leading causes of death among women worldwide, but current diagnostic methods have many drawbacks, such...
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Pregnancy Outcome After Surgical Anastomosis of Oviduct—a Multivariate Analysis
This study aimed at develo** an effective pregnancy outcome prediction nomogram after surgical anastomosis of the oviduct. This was a retrospective...
