Review: a gentle introduction to imputation of missing values.
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Reporting and methods in clinical prediction research: a systematic reviewSearching for success: Development of a combined patient-reported-outcome ("PRO") criterion for operationalizing success in multi-modal pain therapyEstimating the accuracy of geographical imputationExclusion of deep vein thrombosis using the Wells rule in clinically important subgroups: individual patient data meta-analysisInfluence of initial severity of depression on effectiveness of low intensity interventions: meta-analysis of individual patient dataChoice of Reference Serum Creatinine in Defining Acute Kidney InjuryDiagnostic and prognostic prediction modelsPattern recognition in bioinformaticsEvidence and practice in spine registriesData Driven Estimation of Imputation Error—A Strategy for Imputation with a Reject OptionThe power of data mining in diagnosis of childhood pneumonia.A simple diagnostic model for ruling out pneumoconiosis among construction workersEvaluating children's location using a personal GPS logging instrument: limitations and lessons learnedExploration of the effects of classroom humidity levels on teachers' respiratory symptomsComparison of results from different imputation techniques for missing data from an anti-obesity drug trialExplanation and Elaboration Document for the STROBE-Vet Statement: Strengthening the Reporting of Observational Studies in Epidemiology-Veterinary ExtensionComparison of CATs, CURB-65 and PMEWS as triage tools in pandemic influenza admissions to UK hospitals: case control analysis using retrospective dataSelf-perceived quality of life predicts mortality risk better than a multi-biomarker panel, but the combination of both does bestHandling Missing Data With Multilevel Structural Equation Modeling and Full Information Maximum Likelihood Techniques.Guided and unguided internet-based vestibular rehabilitation versus usual care for dizzy adults of 50 years and older: a protocol for a three-armed randomised trialIdentifying type and determinants of missing items in quality of life questionnaires: Application to the SF-36 French version of the 2003 Decennial Health Survey.Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): explanation and elaboration.Apoptosis-inducing factor is involved in gentamicin-induced vestibular hair cell death.Experimental design and primary data analysis methods for comparing adaptive interventions.Prevention of Disease Complications through Diagnostic Models: How to Tackle the Problem of Missing Data?Multiple Imputation to Deal with Missing Clinical Data in Rheumatologic Surveys: an Application in the WHO-ILAR COPCORD Study in Iran.Exercise therapy for chronic low back pain: protocol for an individual participant data meta-analysis.Multiple imputation: dealing with missing data.Individual patient data meta-analysis of trials investigating the effectiveness of intra-articular glucocorticoid injections in patients with knee or hip osteoarthritis: an OA Trial Bank protocol for a systematic review.The impact of missing data on analyses of a time-dependent exposure in a longitudinal cohort: a simulation study.Standards should be applied in the prevention and handling of missing data for patient-centered outcomes research: a systematic review and expert consensus.Carotid intima-media thickness studies: study design and data analysis.Randomized trials with missing outcome data: how to analyze and what to reportSelection of Variables that Influence Drug Injection in Prison: Comparison of Methods with Multiple Imputed Data SetsCritical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist.Handling incomplete smoking history data in survival analysis.Gender as predictor and moderator of outcome in cognitive behavior therapy and pharmacotherapy for adult depression: an "individual patient data" meta-analysis.Model development including interactions with multiple imputed dataBicPAM: Pattern-based biclustering for biomedical data analysis.Using multiple imputation to deal with missing data and attrition in longitudinal studies with repeated measures of patient-reported outcomes
P2860
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P2860
Review: a gentle introduction to imputation of missing values.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
2006年论文
@zh
2006年论文
@zh-cn
name
Review: a gentle introduction to imputation of missing values.
@ast
Review: a gentle introduction to imputation of missing values.
@en
type
label
Review: a gentle introduction to imputation of missing values.
@ast
Review: a gentle introduction to imputation of missing values.
@en
prefLabel
Review: a gentle introduction to imputation of missing values.
@ast
Review: a gentle introduction to imputation of missing values.
@en
P2093
P1476
Review: a gentle introduction to imputation of missing values.
@en
P2093
A Rogier T Donders
Geert J M G van der Heijden
Karel G M Moons
Theo Stijnen
P304
P356
10.1016/J.JCLINEPI.2006.01.014
P577
2006-07-11T00:00:00Z