Tuning multiple imputation by predictive mean matching and local residual draws.
about
Multiple imputation in the presence of non-normal data.A nonparametric multiple imputation approach for missing categorical dataGeographic Variations in Retention in Care among HIV-Infected Adults in the United States.Predictors of dropout from care among HIV-infected patients initiating antiretroviral therapy at a public sector HIV treatment clinic in sub-Saharan Africa.Combining fractional polynomial model building with multiple imputation.Development and Validation of the Neonatal Risk Estimate Score for Children Using Extracorporeal Respiratory Support.The Influence of Parental Education on Timing and Type of Union Formation: Changes Over the Life Course and Over Time in the NetherlandsThe cost of treating diabetic ketoacidosis in the UK: a national survey of hospital resource use.Sustained Posttransplantation Diabetes Is Associated With Long-Term Major Cardiovascular Events Following Liver Transplantation.Imputing estrogen receptor (ER) status in a population-based cancer registry: a sensitivity analysis.Patients with oesophageal cancer report elevated distress and problems yet do not have an explicit wish for referral prior to receiving their medical treatment plan.Multiple imputation with multivariate imputation by chained equation (MICE) packageEffect of Varying Doses of Epicutaneous Immunotherapy vs Placebo on Reaction to Peanut Protein Exposure Among Patients With Peanut Sensitivity: A Randomized Clinical Trial.The representativeness of eligible patients in type 2 diabetes trials: a case study using GIST 2.0.Use of portable ladders - field observations and self-reported safety performance in the cable TV industry.Quantifying the uptake of user-written commands over time.Missing data and chance variation in public reporting of cancer stage at diagnosis: Cross-sectional analysis of population-based data in England.Effects of two-week e-learning on eHealth literacy: a randomized controlled trial of Japanese Internet usersMultiple imputation for missing data in a longitudinal cohort study: a tutorial based on a detailed case study involving imputation of missing outcome dataPatterns of conventional and complementary non-pharmacological health practice use by US military veterans: a cross-sectional latent class analysis
P2860
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P2860
Tuning multiple imputation by predictive mean matching and local residual draws.
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Tuning multiple imputation by predictive mean matching and local residual draws.
@ast
Tuning multiple imputation by predictive mean matching and local residual draws.
@en
type
label
Tuning multiple imputation by predictive mean matching and local residual draws.
@ast
Tuning multiple imputation by predictive mean matching and local residual draws.
@en
prefLabel
Tuning multiple imputation by predictive mean matching and local residual draws.
@ast
Tuning multiple imputation by predictive mean matching and local residual draws.
@en
P2860
P356
P1476
Tuning multiple imputation by predictive mean matching and local residual draws.
@en
P2093
Ian R White
P2860
P2888
P356
10.1186/1471-2288-14-75
P577
2014-06-05T00:00:00Z
P5875
P6179
1003774295