Search results for "Regression"

showing 10 items of 2619 documents

Lipid levels, atrial fibrillation and the impact of age:Results from the LIPIDOGRAM2015 study

2020

Background and aims: An inverse relationship between lipid levels and atrial fibrillation (AF) has been suggested, but whether the association is upheld for all age groups remains unclear. The aim of the study was to examine associations between lipid levels and AF by age groups in a nationwide study in Poland. Methods: Multivariate Poisson regression models were used to estimate prevalence ratios (PRs) for AF by lipid levels. Low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), total cholesterol (TC), non-HDL-C and LDL-C/HDL-C ratios were grouped into quartiles. Results: Of the 13,724 participants, 5.2% (n = 708) had AF. People with…

0301 basic medicineMultivariate statisticsmedicine.medical_specialtyInverse AssociationEpidemiology030204 cardiovascular system & hematology03 medical and health sciencessymbols.namesake0302 clinical medicineAgeAge groupsRisk FactorsTotal cholesterolInternal medicineAtrial FibrillationmedicinePrevalenceHumansPoisson regressionTriglyceridesLipoprotein cholesterolbusiness.industryCholesterol HDLAtrial fibrillationCholesterol LDLmedicine.diseaseAtrial fibrillationLipids030104 developmental biologyCholesterolQuartilesymbolsCardiologylipids (amino acids peptides and proteins)PolandCardiology and Cardiovascular Medicinebusiness
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Factors influencing the development of visceral metastasis of breast cancer: A retrospective multi-center study.

2017

Abstract Purpose Visceral metastasis of breast cancer (BC) is an alarming development and correlates with poor median overall survival. The purpose of this retrospective study is to examine the risk factors for developing visceral metastasis by considering tumor biology and patient characteristics. Methods Using the BRENDA database, the risk factors such as histological and intrinsic subtypes of BC, age at primary diagnosis, grading, nodal status, tumor size and year of primary diagnosis were examined in univariate and multivariate analysis. Categorical variables were compared by using χ2 tests. Furthermore, multivariate Cox proportional hazards regression models, Kaplan–Meier product-limit…

0301 basic medicineOncologyAdultmedicine.medical_specialtyPathologyMultivariate statisticsMultivariate analysisLung NeoplasmsBreast NeoplasmsKaplan-Meier EstimateLogistic regressionMetastasis03 medical and health sciencesYoung Adult0302 clinical medicineBreast cancerRisk FactorsInternal medicineMedicineHumansGrading (tumors)AgedProportional Hazards ModelsRetrospective StudiesAged 80 and overChi-Square Distributionbusiness.industryCarcinoma Ductal BreastLiver NeoplasmsUnivariateAge FactorsRetrospective cohort studyGeneral MedicineMiddle Agedmedicine.disease030104 developmental biologyLogistic Models030220 oncology & carcinogenesisMultivariate AnalysisSurgeryFemalebusinessBreast (Edinburgh, Scotland)
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Ki-67 Expression as a Factor Predicting Recurrence of Ductal Carcinoma In Situ of the Breast: A Systematic Review and Meta-Analysis

2018

Abstract Background Ki-67 is a marker of proliferating cells; in this meta-analysis we aimed to examine whether Ki-67 expression can predict recurrence rates of breast ductal carcinoma in situ (DCIS). Materials and Methods This systematic review and meta-analysis was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Eligible articles were sought in MEDLINE up to April 30, 2017. Random effects (DerSimonian–Laird) models were used for the calculation of pooled relative risk (RR) estimates; meta-regression analysis was also performed. Separate analyses were performed according to Ki-67 expression cutoff levels, invasiveness of recurrence,…

0301 basic medicineOncologyCancer Researchmedicine.medical_specialtyBreast NeoplasmsRisk Assessment03 medical and health sciences0302 clinical medicineBreast cancerInternal medicinemedicineHumansMeta-regressionBreastMastectomybiologybusiness.industryDuctal carcinomaPrognosismedicine.diseaseConfidence intervalCarcinoma Intraductal NoninfiltratingKi-67 Antigen030104 developmental biologyOncology030220 oncology & carcinogenesisRelative riskMeta-analysisKi-67biology.proteinFemaleRadiotherapy AdjuvantNeoplasm Recurrence LocalbusinessCohort studyClinical Breast Cancer
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Prognostic impact and implications of extra-capsular lymph node involvement in colorectal cancer: a systematic review with meta-analysis.

2015

The extranodal extension (ENE) of nodal metastasis (i.e. the extension of tumor cells through the nodal capsule into the perinodal adipose tissue) has recently emerged as an important prognostic factor in different types of malignancies. However, the tumor-node-metastasis (TNM) staging system for colorectal cancer does not consider it as a prognostic parameter. Therefore, we conducted a systematic review and meta-analysis to determine the prognostic role of ENE in patients with lymph node-positive colorectal cancer.Two independent authors searched PubMed and SCOPUS until 7 January 2015 without language restrictions. Prospective studies reporting data on prognostic parameters in subjects wit…

0301 basic medicineOncologymedicine.medical_specialtyColorectal cancerExtra-capsular extensionColon cancer; ENE; Extra-capsular extension; Extra-nodal extension; Lymph node metastasis; Rectal cancer03 medical and health sciences0302 clinical medicinecolon cancer; extracapsular extension; extranodal extension; lymph node metastasis; rectal cancerInternal medicineHumansMedicineextracapsular extensionRectal cancerProspective cohort studyLymph nodeProportional Hazards ModelsLymph node metastasisbusiness.industryProportional hazards modelHazard ratioCancerextranodal extensionHematologyPrognosismedicine.diseaseColon cancerTreatment Outcome030104 developmental biologymedicine.anatomical_structureOncologyLymphatic Metastasis030220 oncology & carcinogenesisMeta-analysisENEextranodal extension extracapsular extension lymph node metastasis colon cancer rectal cancerRegression AnalysisT-stageExtra-nodal extensionLymph NodesNeoplasm Recurrence LocalColorectal Neoplasmsbusiness
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Association between trans fatty acid intake and overweight including obesity in 4 to 5-year-old children from the INMA study

2019

Background: Trans fatty acid (TFA) intake has been positively associated with obesity in adults, although the evidence in children is scarce. There is growing evidence that TFA of industrial or natural origin may have different effects. Objectives: We aimed to explore the association between total, industrial, and natural TFA intake and overweight including obesity in 4 to 5-year-old Spanish children. Methods: We cross-sectionally analyzed data of 1744 children aged 4 to 5 from the INMA study, a prospective mother-child cohort study in Spain. We estimated the intake of total, industrial, and natural TFA in grams per day (g/day) using a validated food frequency questionnaire and expressed it…

0301 basic medicinePediatric Obesitypediatric obesity030209 endocrinology & metabolismOverweightLogistic regressionCohort Studies03 medical and health sciences0302 clinical medicineSDG 3 - Good Health and Well-beingEnvironmental healthHumansMedicinerisk factorsProspective StudiesDietary fatschemistry.chemical_classification030109 nutrition & dieteticsNutrition and Dieteticsbusiness.industryHealth PolicyPublic Health Environmental and Occupational HealthFatty acidOdds ratioTrans Fatty AcidsDietary fats pediatric obesity risk factors trans fatty acidsmedicine.diseaseDietary FatsObesityConfidence intervalCross-Sectional StudiesQuartilechemistrySpainChild PreschoolPediatrics Perinatology and Child HealthFemalemedicine.symptomEnergy Intakebusinesstrans fatty acidsCohort studyPediatric obesity
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Molecular topology: A new strategy for antimicrobial resistance control

2017

The control of antimicrobial resistance (AMR) seems to have come to an impasse. The use and abuse of antibacterial drugs has had major consequences on the genetic mutability of both pathogenic and nonpathogenic microorganisms, leading to the development of new highly resistant strains. Because of the complexity of this situation, an in silico strategy based on QSAR molecular topology was devised to identify synthetic molecules as antimicrobial agents not susceptible to one or several mechanisms of resistance such as: biofilms formation (BF), ionophore (IA) activity, epimerase (EI) activity or SOS system (RecA inhibition). After selecting a group of 19 compounds, five of them showed signific…

0301 basic medicineQuantitative structure–activity relationshipStaphylococcusIn silico030106 microbiologyMicrobial Sensitivity Testsmedicine.disease_causeMicrobiologyStructure-Activity Relationship03 medical and health sciencesAntibiotic resistanceDrug Resistance BacterialDrug DiscoveryEnterococcus faecalisEscherichia colimedicineEscherichia coliPharmacologyVirtual screeningDose-Response Relationship DrugMolecular StructureChemistryOrganic ChemistryBiofilmGeneral MedicineAntimicrobialAnti-Bacterial Agents030104 developmental biologyBiofilmsRegression AnalysisStaphylococcusEuropean Journal of Medicinal Chemistry
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Two-Stage Bayesian Approach for GWAS With Known Genealogy

2019

Genome-wide association studies (GWAS) aim to assess relationships between single nucleotide polymorphisms (SNPs) and diseases. They are one of the most popular problems in genetics, and have some peculiarities given the large number of SNPs compared to the number of subjects in the study. Individuals might not be independent, especially in animal breeding studies or genetic diseases in isolated populations with highly inbred individuals. We propose a family-based GWAS model in a two-stage approach comprising a dimension reduction and a subsequent model selection. The first stage, in which the genetic relatedness between the subjects is taken into account, selects the promising SNPs. The se…

0301 basic medicineStatistics and ProbabilityBayesian probabilityPopulationSingle-nucleotide polymorphismGenome-wide association studyComputational biologyEstadísticaBiologyKinship coefficientModel selection01 natural sciencesBeta-thalassemia010104 statistics & probability03 medical and health sciencesBeta-thalassemia disorderModelsRobust prior distributionRegularizationDiscrete Mathematics and Combinatorics0101 mathematicsStage (cooking)Genetic associationGenome-wide associationModel selectionVariable-selectionProbability and statisticsBayes factorRegressionBayes factor030104 developmental biologyPhenotypeStatistics Probability and UncertaintyGaussian Markov random field
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Stagewise pseudo-value regression for time-varying effects on the cumulative incidence

2015

In a competing risks setting, the cumulative incidence of an event of interest describes the absolute risk for this event as a function of time. For regression analysis, one can either choose to model all competing events by separate cause-specific hazard models or directly model the association between covariates and the cumulative incidence of one of the events. With a suitable link function, direct regression models allow for a straightforward interpretation of covariate effects on the cumulative incidence. In practice, where data can be right-censored, these regression models are implemented using a pseudo-value approach. For a grid of time points, the possibly unobserved binary event s…

0301 basic medicineStatistics and ProbabilityCarcinoma HepatocellularTime FactorsEpidemiologyComputer scienceFeature selectionBiostatistics01 natural sciences010104 statistics & probability03 medical and health sciencesRisk FactorsStatisticsCovariateEconometricsHumansComputer SimulationCumulative incidenceRegistries0101 mathematicsEvent (probability theory)Models StatisticalIncidenceLiver NeoplasmsAbsolute risk reductionRegression analysisRegression030104 developmental biologyRegression AnalysisJackknife resamplingAlgorithmsStatistics in Medicine
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LEGO-based generalized set of two linear algebraic 3D bio-macro-molecular descriptors: Theory and validation by QSARs

2019

Abstract Novel 3D protein descriptors based on bilinear, quadratic and linear algebraic maps in R n are proposed. The latter employs the kth 2-tuple (dis) similarity matrix to codify information related to covalent and non-covalent interactions in these biopolymers. The calculation of the inter-amino acid distances is generalized by using several dis-similarity coefficients, where normalization procedures based on the simple stochastic and mutual probability schemes are applied. A new local-fragment approach based on amino acid-types and amino acid-groups is proposed to characterize regions of interest in proteins. Topological and geometric macromolecular cutoffs are defined using local and…

0301 basic medicineStatistics and ProbabilityNormalization (statistics)GeneralizationQuantitative Structure-Activity RelationshipGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciences0302 clinical medicineLinear regressionAmino AcidsMathematicsGeneral Immunology and MicrobiologyApplied MathematicsStatistical parameterProteinsGeneral MedicineCollinearityStructural Classification of Proteins databaseSupport vector machine030104 developmental biologyModeling and SimulationTest setLinear ModelsGeneral Agricultural and Biological SciencesAlgorithmSoftware030217 neurology & neurosurgeryJournal of Theoretical Biology
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Search of Chemical Scaffolds for Novel Antituberculosis Agents

2005

3 A method to identify chemical scaffolds potentially active against Mycobacterium tuberculosis is presented. The molecular features of a set of structurally heterogeneous antituberculosis drugs were coded by means of structural invariants. Three tech- niques were used to obtain equations able to model the antituberculosis activity: linear discriminant analysis, multilinear re- gression, and shrinkage estimation-ridge regression. The model obtained was statistically validated through leave-n-out test, and an external set and was applied to a database for the search of new active agents. The selected compounds were assayed in vitro, and among those identified as active stand reserpine, N,N,N…

0301 basic medicineStereochemistryAntitubercular AgentsQuantitative Structure-Activity RelationshipComputational biology01 natural sciencesBiochemistryAnalytical ChemistryMycobacterium tuberculosis03 medical and health sciencesmedicineComputer SimulationMycobacterium avium complexEthambutolVirtual screeningMolecular StructurebiologyChemistrybiology.organism_classificationLinear discriminant analysis0104 chemical sciences010404 medicinal & biomolecular chemistry030104 developmental biologyModels ChemicalDrug DesignRegression AnalysisMolecular MedicineMultiple linear regression analysisBiotechnologyPentamidinemedicine.drugSLAS Discovery
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