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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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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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Computationally efficient whole-genome regression for quantitative and binary traits
Genome-wide association analysis of cohorts with thousands of phenotypes is computationally expensive, particularly when accounting for sample...
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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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Nomogram prediction of the 70-gene signature (MammaPrint) binary and quartile categorized risk using medical history, imaging features and clinicopathological data among Chinese breast cancer patients
BackgroundThe 70-gene signature (70-GS, MammaPrint) test has been recommended by the main guidelines to evaluate prognosis and chemotherapy benefit...
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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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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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Binary Poisson/Negative Binomial Regressions Versus Quantile
In a parallel-group study of the effects of two treatments on risk of torsades de pointe binary logistic regression produced a p-value of 0.051,...
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Quantitative parameter analysis of pretreatment dual-energy computed tomography in nasopharyngeal carcinoma cervical lymph node characteristics and prediction of radiotherapy sensitivity
BackgroundTreatment efficacy may differ among patients with nasopharyngeal carcinoma (NPC) at similar tumor–node–metastasis stages. Moreover,...
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Factors associated with vaccine hesitancy against COVID-19 among adults in Europe: a descriptive study analysis applying socio-ecological framework
ObjectiveThis study aimed to explore the factors associated with COVID-19 vaccine hesitancy in Europe among adults by using the Socio-Ecological...
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Clinical value of circulating tumor cells and hematological parameters in 617 Chinese patients with colorectal cancer: retrospective analysis
BackgroundCirculating tumor cells (CTCs) have been a non-invasive technique which allows investigation of tumor characteristics. The purpose of this...
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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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Laboratory Values Predict Survival Sepsis, Traditional Regression Versus Quantile
Clinical chemistry has been recognized as helpful as a predictor of morbidity/mortality scores. In a 200 patient data file of patients with sepsis...
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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...
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Safety analysis of therapeutic drugs for breast cancer patients and construction of a predictive model for serious adverse drug reactions
ObjectivesTo explore the characteristics of the occurrence of antineoplastic drug adverse reactions (ADRs) in breast cancer and to utilize a...
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Cortical thickness of the inferior parietal lobule as a potential predictor of relapse in men with alcohol dependence
Alcohol dependence is a disorder with a high recurrence rate that leads to a considerable public health burden. The risk of relapse appears to be...
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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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Cancer screening in hospitalized ischemic stroke patients: a multicenter study focused on multiparametric analysis to improve management of occult cancers
Background/aimsThe reciprocal promotion of cancer and stroke occurs due to changes in shared risk factors, such as metabolic pathways and molecular...
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Analysis of related factors for pathological upgrading of cervical biopsy from CIN3 to cancer after conical resection
BackgroundTo investigate related factors for postoperative pathological upgrading of cervical biopsy to cervical cancer (CC) in patients with...