Search results for "IMPUTATION"

showing 10 items of 57 documents

Construction of quality of life change patterns: example in oncology in a phase III therapeutic trial (FFCD 0307)

2015

Objective Quality of life data in cancerology are often difficult to summarize due to missing data and difficulty to analyze the pattern of evolution in different groups of patients. The aim of this work was to apply a new methodology to construct Quality of Life (QoL) change patterns within patients included in a clinical trial comparing to regimen of treatment in locally advanced eosogastric cancer. Materials and methods In this trial, QoL was assessed every 2 months by self-reported EORTC QLQ-C30 questionnaire. Physical dimension scores were analyzed. After multiple imputation of missing data, 27 statistical measures aiming to describe the variation of QoL measures among follow-up were c…

AdultMaleQuality of lifemedicine.medical_specialtyEsophageal NeoplasmsPsychometricsPsychometricsMEDLINEChange patternsPhase (combat)ClusteringQuality of lifeSickness Impact ProfileSurveys and QuestionnairesAdaptation PsychologicalHealth Status IndicatorsHumansMedicineMedical physicsAgedbusiness.industryManagement scienceResearchPublic Health Environmental and Occupational HealthGeneral MedicineMiddle AgedMissing datahumanitiesClinical trialRegimenClinical Trials Phase III as TopicMultiple imputationFemaleConstruct (philosophy)businessHealth and Quality of Life Outcomes
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2013

Currently, a growing number of programs become available in statistical software for multiple imputation of missing values. Among others, two algorithms are mainly implemented: Expectation Maximization (EM) and Multiple Imputation by Chained Equations (MICE). They have been shown to work well in large samples or when only small proportions of missing data are to be imputed. However, some researchers have begun to impute large proportions of missing data or to apply the method to small samples. A simulation was performed using MICE on datasets with 50, 100 or 200 cases and four or eleven variables. A varying proportion of data (3% - 63%) was set as missing completely at random and subsequent…

Binary responseSample size determinationStatisticsExpectation–maximization algorithmEconometricsMain effectImputation (statistics)Missing dataInteractionLogistic regressionMathematicsOpen Journal of Statistics
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Duration of untreated psychosis in first-episode psychosis is not associated with common genetic variants for major psychiatric conditions: results f…

2021

The EU-GEI Project is funded by the European Community’s Seventh Framework Programme under grant agreement No. HEALTH-F2-2010–241909 (Project EU-GEI).

Bipolar DisorderTime FactorsIntelligenceGenome-wide association studyDETERMINANTSpsychosi0302 clinical medicineInterquartile rangeSettore MED/48 -Scienze Infermierist. e Tecn. Neuro-Psichiatriche e Riabilitat.IMPUTATIONpolygenic scorepsychosis0303 health sciencesConfoundingEuropePsychiatry and Mental healthgenome-wide association studieSchizophreniaMajor depressive disorderlipids (amino acids peptides and proteins)Case-Control Studieduration of untreated psychosisBrazilHumanAdultPsychosismedicine.medical_specialtycongenital hereditary and neonatal diseases and abnormalitiesTime FactorAcademicSubjects/MED00810DISORDERS1ST EPISODEILLNESSPsychotic Disorderduration of untreated psychosi03 medical and health sciencesInternal medicinemedicineHumansBipolar disorderGENOME-WIDE ASSOCIATIONSettore MED/25 - PsichiatriaMETAANALYSIS030304 developmental biologyDepressive Disorder Majorbusiness.industryCOMPONENTSTREATMENT DELAYmedicine.diseaseTRANSTORNO BIPOLARschizophreniapolygenic scoresPsychotic DisordersCase-Control Studiesdupgenome-wide association studiesbusiness030217 neurology & neurosurgeryRegular ArticlesGenome-Wide Association Study
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Cost-description and multiple imputation of missing values: theSATisfaction and adherence to COPD treatment(SAT) study

2018

Aim:This article reports on a retrospective quarterly cost description (CD) performed on 401 patients with stable chronic obstructive pulmonary disease (COPD) at enrolment in the national, multicen...

COPDmedicine.medical_specialtymultiple imputationbusiness.industry030503 health policy & servicesHealth PolicySAT studyPulmonary diseasemedicine.diseaseMissing datahumanitiesCOPD Italy SAT study cost description multiple imputation03 medical and health sciences0302 clinical medicineItalyInternal medicinemedicineCOPD030212 general & internal medicine0305 other medical sciencebusinesscost descriptionGlobal & Regional Health Technology Assessment: Italian; Northern Europe and Spanish
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Genome-Wide Haplotype Analysis of Cis Expression Quantitative Trait Loci in Monocytes

2013

In order to assess whether gene expression variability could be influenced by several SNPs acting in cis, either through additive or more complex haplotype effects, a systematic genome-wide search for cis haplotype expression quantitative trait loci (eQTL) was conducted in a sample of 758 individuals, part of the Cardiogenics Transcriptomic Study, for which genome-wide monocyte expression and GWAS data were available. 19,805 RNA probes were assessed for cis haplotypic regulation through investigation of ∼2,1×109 haplotypic combinations. 2,650 probes demonstrated haplotypic p-values >104-fold smaller than the best single SNP p-value. Replication of significant haplotype effects were tested f…

Cancer Researchmedicine.medical_specialtyHereditylcsh:QH426-470Immune Cells[SDV]Life Sciences [q-bio]Quantitative Trait LociImmunologyGene ExpressionGenome-wide association studySingle-nucleotide polymorphismQuantitative trait locusBiologyRegulatory Sequences Nucleic AcidPolymorphism Single NucleotideMonocytes03 medical and health sciences0302 clinical medicineMolecular geneticsmedicineGeneticsGenome-Wide Association StudiesSNPHumansGenetic Predisposition to DiseaseMolecular BiologyBiologyGenetics (clinical)Ecology Evolution Behavior and Systematics030304 developmental biologyGenetics0303 health sciencesQuantitative TraitsComplex TraitsHaplotypeGenomicslcsh:GeneticsGene Expression RegulationHaplotypesExpression quantitative trait lociGenome Expression Analysis030217 neurology & neurosurgeryImputation (genetics)Population GeneticsGenome-Wide Association StudyResearch Article
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Genome-wide association analysis in dilated cardiomyopathy reveals two new players in systolic heart failure on chromosomes 3p25.1 and 22q11.23

2021

Abstract Aims  Our objective was to better understand the genetic bases of dilated cardiomyopathy (DCM), a leading cause of systolic heart failure. Methods and results  We conducted the largest genome-wide association study performed so far in DCM, with 2719 cases and 4440 controls in the discovery population. We identified and replicated two new DCM-associated loci on chromosome 3p25.1 [lead single-nucleotide polymorphism (SNP) rs62232870, P = 8.7 × 10−11 and 7.7 × 10−4 in the discovery and replication steps, respectively] and chromosome 22q11.23 (lead SNP rs7284877, P = 3.3 × 10−8 and 1.4 × 10−3 in the discovery and replication steps, respectively), while confirming two previously identif…

Cardiac & Cardiovascular SystemsCardiomyopathy Dilated/genetics[SDV]Life Sciences [q-bio]Signal Transducing/geneticsDilated cardiomyopathyGenome-wide association studyAdaptor Proteins Signal Transducing/genetics030204 cardiovascular system & hematologyTAURINE0302 clinical medicineGWASMedicinePOSITION STATEMENT1102 Cardiorespiratory Medicine and HaematologyGenetics0303 health scienceseducation.field_of_studyGenetic Predisposition to Disease/geneticsAdaptor ProteinsDilated cardiomyopathy4C-sequencingPolymorphism Single Nucleotide/geneticsGenetic risk scoreCardiology and Cardiovascular MedicineLife Sciences & BiomedicineSingle Nucleotide/geneticsCardiomyopathy DilatedCardiomyopathyPopulationLocus (genetics)Single-nucleotide polymorphismPolymorphism Single NucleotideChromosomes03 medical and health sciencesSystolic/geneticsHeart Failure Systolic/geneticsSNPAnimalsHumansGenetic Predisposition to DiseaseAllelePolymorphismeducationImputationAdaptor Proteins Signal Transducing030304 developmental biologyHeart FailureScience & Technologybusiness.industryWORKING GROUP1103 Clinical Sciencesmedicine.diseaseGenetic architectureCardiovascular System & Hematology Dilated cardiomyopathyDilated/geneticsCardiovascular System & Cardiology[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologiebusinessApoptosis Regulatory ProteinsHeart Failure SystolicGenome-Wide Association Study
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Acting under the idea of freedom: Kant and the Incorporation Thesis

2010

Este artículo examina un supuesto fundamental de la filosofía moral kantiana, a saber: que sin libertad trascendental, entendida como la propiedad de la voluntad por la que se determina a actuar sin ser afectada por resortes sensibles, no se le pueden imputar al presunto agente actos inmorales. Teóricamente se argumenta contra el sentido lógico del supuesto (se revela la consecuencia aporética de la concepción) y se muestra cuán superfluo es en la práctica. De todos modos, se le reconoce a Kant, contra una línea de argumentación nietzscheana bien conocida, el mérito de haber captado el compromiso humano insuperable con la idea de que somos seres discrecionales o libres trascendentalmente. Y…

CompatibilismoFree willImputaciónCompatibilismFilosofíaArbitrioLlibertatLibertad de la voluntadFreedom of the willImputation
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Seeing Missing Values

2011

Computer scienceStatisticsImputation (statistics)Missing data
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Interpretable machine learning models for single-cell ChIP-seq imputation

2019

AbstractMotivationSingle-cell ChIP-seq (scChIP-seq) analysis is challenging due to data sparsity. High degree of data sparsity in biological high-throughput single-cell data is generally handled with imputation methods that complete the data, but specific methods for scChIP-seq are lacking. We present SIMPA, a scChIP-seq data imputation method leveraging predictive information within bulk data from ENCODE to impute missing protein-DNA interacting regions of target histone marks or transcription factors.ResultsImputations using machine learning models trained for each single cell, each target, and each genomic region accurately preserve cell type clustering and improve pathway-related gene i…

Computer sciencebusiness.industryCell chipPython (programming language)Machine learningcomputer.software_genreENCODEIdentification (information)Simulated dataFeature (machine learning)Imputation (statistics)Artificial intelligenceCluster analysisbusinesscomputercomputer.programming_language
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Missing values in deduplication of electronic patient data

2011

Data deduplication refers to the process in which records referring to the same real-world entities are detected in datasets such that duplicated records can be eliminated. The denotation ‘record linkage’ is used here for the same problem.1 A typical application is the deduplication of medical registry data.2 3 Medical registries are institutions that collect medical and personal data in a standardized and comprehensive way. The primary aims are the creation of a pool of patients eligible for clinical or epidemiological studies and the computation of certain indices such as the incidence in order to oversee the development of diseases. The latter task in particular requires a database in wh…

Computer sciencemedia_common.quotation_subjectInferenceHealth InformaticsAmbiguityPatient dataMissing datacomputer.software_genreResearch and ApplicationsRegressionNeoplasmsStatisticsData deduplicationElectronic Health RecordsHumansData miningImputation (statistics)Medical Record LinkageRegistriescomputerRecord linkagemedia_common
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