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An Exploratory Approach of Clinically Useful Biomarkers of Cvid by Logistic Regression
Despite advancements in genetic and functional studies, the timely diagnosis of common variable immunodeficiency (CVID) remains a significant...
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Complete sources of cluster variation on the risk of under-five malaria in Uganda: a multilevel-weighted mixed effects logistic regression model approach
BackgroundMalaria, a major cause of mortality worldwide is linked to a web of determinants ranging from individual to contextual factors. This calls...
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Sparse logistic regression revealed the associations between HBV PreS quasispecies and hepatocellular carcinoma
BackgroundChronic infection with hepatitis B virus (HBV) has been proved highly associated with the development of hepatocellular carcinoma (HCC).
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Predicting Lumbar Vertebral Osteopenia Using LvOPI Scores and Logistic Regression Models in an Exploratory Study of Premenopausal Taiwanese Women
PurposeTo propose hybrid predicting models integrating clinical and magnetic resonance imaging (MRI) features to diagnose lumbar vertebral osteopenia...
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Insecticide-treated bed net use and associated factors among households having under-five children in East Africa: a multilevel binary logistic regression analysis
BackgroundEven though malaria is preventable, it remains the leading cause of under-five morbidity and mortality in low-and middle-income countries....
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Meta-Regression
Meta-regression is a powerful tool for exploratory analyses of heterogeneity using regression methods. It is an extension of a standard meta-analysis...
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Pain Monitoring Using Heart Rate Variability and Photoplethysmograph-Derived Parameters by Binary Logistic Regression
PurposeTo construct a pain classification model using binary logistic regression to calculate pain probability and monitor pain based on heart rate...
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Detection of functional and structural brain alterations in female schizophrenia using elastic net logistic regression
Neuroimaging technique is a powerful tool to characterize the abnormality of brain networks in schizophrenia. However, the neurophysiological...
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High performance logistic regression for privacy-preserving genome analysis
BackgroundIn biomedical applications, valuable data is often split between owners who cannot openly share the data because of privacy regulations and...
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Malaria attributable fractions with changing transmission intensity: Bayesian latent class vs logistic models
BackgroundAsymptomatic carriage of malaria parasites is common in high transmission intensity areas and confounds clinical case definitions for...
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Tissue Outcome Prediction in Patients with Proximal Vessel Occlusion and Mechanical Thrombectomy Using Logistic Models
Perfusion CT is established to aid selection of patients with proximal intracranial vessel occlusion for thrombectomy in the extended time window....
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Characterization of terminal-ileal and colonic Crohn’s disease in treatment-naïve paediatric patients based on transcriptomic profile using logistic regression
BackgroundInflammatory bowel disease (IBD) is a chronic and idiopathic inflammatory disorder of the gastrointestinal tract and comprises ulcerative...
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Prediction of independence in bowel function after spinal cord injury: validation of a logistic regression model
Study designRetrospective analysis of prospectively collected data.
ObjectivesRecently, logistic regression models were developed to predict...
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Semi-Parallel logistic regression for GWAS on encrypted data
BackgroundThe sharing of biomedical data is crucial to enable scientific discoveries across institutions and improve health care. For example,...
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Privacy-preserving semi-parallel logistic regression training with fully homomorphic encryption
BackgroundPrivacy-preserving computations on genomic data, and more generally on medical data, is a critical path technology for innovative,...
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Unbiased proteomics and multivariable regularized regression techniques identify SMOC1, NOG, APCS, and NTN1 in an Alzheimer’s disease brain proteomic signature
Advancements in omics methodologies have generated a wealth of high-dimensional Alzheimer’s disease (AD) datasets, creating significant opportunities...
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Spontaneous regression of cervical intraepithelial neoplasia 3 in women with a biopsy—cone interval of greater than 11 weeks
BackgroundAlthough there is broad consensus that only a subset of CIN3 will progress to cancer, there is currently no surefire way to predict which...
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Selective Partitioned Regression for Accurate Kidney Health Monitoring
The number of people diagnosed with advanced stages of kidney disease have been rising every year. Early detection and constant monitoring are the...
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A comparison of regularized logistic regression and random forest machine learning models for daytime diagnosis of obstructive sleep apnea
A major challenge in big and high-dimensional data analysis is related to the classification and prediction of the variables of interest by...
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Poisson Events per Person per Period of Time Versus Quantile Regression
This chapter will address the Poisson regression (after Poisson 1781–1840 Paris) for the analysis of counted event rates. This is different from...