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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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A multivariate multi-step LSTM forecasting model for tuberculosis incidence with model explanation in Liaoning Province, China
BackgroundTuberculosis (TB) is the respiratory infectious disease with the highest incidence in China. We aim to design a series of forecasting...
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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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Prediction model of anastomotic leakage after anterior resection for rectal cancer—based on nomogram and multivariate analysis with 1995 patients
BackgroundPostoperative anastomotic leakage for rectal cancer shows higher morbidity with grievous concomitant symptoms. Accurate assessment of the...
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Multivariate Exact Discrepancy: A New Tool for PK/PD Model Evaluation
BackgroundPharmacokinetic models are evaluated using three types of metrics: those based on estimating the typical pharmacokinetic parameters, those...
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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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A multivariate model based on gadoxetic acid-enhanced MRI using Li-RADS v2018 and other imaging features for preoperative prediction of dual‑phenotype hepatocellular carcinoma
ObjectiveTo investigate the diagnostic value of liver imaging reporting and data system (LI-RADS) v2018 and other imaging features in dual-phenotype...
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Multivariate analysis and model building for classifying patients in the peroxisomal disorders X-linked adrenoleukodystrophy and Zellweger syndrome in Chinese pediatric patients
BackgroundThe peroxisome is a ubiquitous single membrane-enclosed organelle with an important metabolic role. Peroxisomal disorders represent a class...
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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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68Ga-PSMA PET/CT-based multivariate model for highly accurate and noninvasive diagnosis of clinically significant prostate cancer in the PSA gray zone
BackgroundThe prostate-specific antigen (PSA) has been widely used in screening and early diagnosis of prostate cancer (PCa). However, in the PSA...
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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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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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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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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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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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Using multivariate nonlinear mixed-effects model to investigate factors influencing symptom improvement after high tibial osteotomy in combination with bone marrow concentrate injection for medial compartment knee osteoarthritis: a prospective, open-label study
PurposeTo investigate the effects of various demographic, structural, radiographic, and clinical factors on the prognosis of patients with medial...
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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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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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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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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...
