Evaluation of software for multiple imputation of semi-continuous data.
about
Missing data analysis using multiple imputation: getting to the heart of the matter.Multiple imputation methods for handling missing data in cost-effectiveness analyses that use data from hierarchical studies: an application to cluster randomized trials.Comparison of models for analyzing two-group, cross-sectional data with a Gaussian outcome subject to a detection limit.Multiple imputation to deal with missing EQ-5D-3L data: Should we impute individual domains or the actual index?Multiple imputation strategies for zero-inflated cost data in economic evaluations: which method works best?A review of RCTs in four medical journals to assess the use of imputation to overcome missing data in quality of life outcomes.Comparison of imputation methods for handling missing covariate data when fitting a Cox proportional hazards model: a resampling study.Multiple imputation in a large-scale complex survey: a practical guide.Uterine artery embolization versus abdominal myomectomy: a long-term clinical outcome comparison.Diagnosing imputation models by applying target analyses to posterior replicates of completed data.Rationing of total knee replacement: a cost-effectiveness analysis on a large trial data setMultiple imputation by chained equations: what is it and how does it work?Joint modelling rationale for chained equationsClosing the gap in academic readiness and achievement: the role of early childcareHandling incomplete correlated continuous and binary outcomes in meta-analysis of individual participant dataThe HCUP SID Imputation Project: Improving Statistical Inferences for Health Disparities Research by Imputing Missing Race Data.A comparison of multiple imputation methods for handling missing values in longitudinal data in the presence of a time-varying covariate with a non-linear association with time: a simulation study.Handling Protest Responses in Contingent Valuation Surveys.How Does Caregiver Well-Being Relate to Perceived Quality of Care in Patients With Cancer? Exploring Associations and Pathways.Multiple imputation for missing values through conditional Semiparametric odds ratio modelsComparison of statistical approaches for analyzing incomplete longitudinal patient-reported outcome data in randomized controlled trials.A comparison of multiple-imputation methods for handling missing data in repeated measurements observational studiesMultiple imputation for patient reported outcome measures in randomised controlled trials: advantages and disadvantages of imputing at the item, subscale or composite score level
P2860
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P2860
Evaluation of software for multiple imputation of semi-continuous data.
description
2007 nî lūn-bûn
@nan
2007 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Evaluation of software for multiple imputation of semi-continuous data.
@ast
Evaluation of software for multiple imputation of semi-continuous data.
@en
Evaluation of software for multiple imputation of semi-continuous data.
@nl
type
label
Evaluation of software for multiple imputation of semi-continuous data.
@ast
Evaluation of software for multiple imputation of semi-continuous data.
@en
Evaluation of software for multiple imputation of semi-continuous data.
@nl
prefLabel
Evaluation of software for multiple imputation of semi-continuous data.
@ast
Evaluation of software for multiple imputation of semi-continuous data.
@en
Evaluation of software for multiple imputation of semi-continuous data.
@nl
P2860
P356
P1476
Evaluation of software for multiple imputation of semi-continuous data.
@en
P2093
P2860
P304
P356
10.1177/0962280206074464
P577
2007-06-01T00:00:00Z