Quantifying the impact of fixed effects modeling of clusters in multiple imputation for cluster randomized trials.
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Combining multiple imputation and meta-analysis with individual participant data.Multiple imputation for handling systematically missing confounders in meta-analysis of individual participant data.Multiple imputation methods for handling missing data in cost-effectiveness analyses that use data from hierarchical studies: an application to cluster randomized trials.Are missing data adequately handled in cluster randomised trials? A systematic review and guidelines.Multiple imputation by chained equations for systematically and sporadically missing multilevel data.The Well London program--a cluster randomized trial of community engagement for improving health behaviors and mental wellbeing: baseline survey results.Teaching Medical Students to Help Patients Quit Smoking: Outcomes of a 10-School Randomized Controlled Trial.Enhancing cancer screening in primary care: rationale, design, analysis plan, and recruitment results.Multiple imputation methods for bivariate outcomes in cluster randomised trials.Multiple imputation for an incomplete covariate that is a ratio.Coping with persistent pain, effectiveness research into self-management (COPERS): statistical analysis plan for a randomised controlled trial.NET-Works: Linking families, communities and primary care to prevent obesity in preschool-age childrenAccounting for multiple births in randomised trials: a systematic review.Biases in multilevel analyses caused by cluster-specific fixed-effects imputation.A pattern-mixture model approach for handling missing continuous outcome data in longitudinal cluster randomized trials.A comparison of existing methods for multiple imputation in individual participant data meta-analysis.Missing binary outcomes under covariate-dependent missingness in cluster randomised trials.Missing continuous outcomes under covariate dependent missingness in cluster randomised trialsMultiple imputation of missing covariate values in multilevel models with random slopes: a cautionary note.Cost-effectiveness of telehealthcare to patients with chronic obstructive pulmonary disease: results from the Danish 'TeleCare North' cluster-randomised trial.Multiple Imputation in Two-Stage Cluster Samples Using The Weighted Finite Population Bayesian Bootstrap.Hierarchical imputation of systematically and sporadically missing data: An approximate Bayesian approach using chained equations.Review of Recent Methodological Developments in Group-Randomized Trials: Part 2-Analysis.Peer mentor versus teacher delivery of a physical activity program on the effects of BMI and daily activity: protocol of a school-based group randomized controlled trial in Appalachia.Bayesian Multilevel Latent Class Models for the Multiple Imputation of Nested Categorical Data
P2860
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P2860
Quantifying the impact of fixed effects modeling of clusters in multiple imputation for cluster randomized trials.
description
2011 nî lūn-bûn
@nan
2011 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Quantifying the impact of fixe ...... for cluster randomized trials.
@ast
Quantifying the impact of fixe ...... for cluster randomized trials.
@en
type
label
Quantifying the impact of fixe ...... for cluster randomized trials.
@ast
Quantifying the impact of fixe ...... for cluster randomized trials.
@en
prefLabel
Quantifying the impact of fixe ...... for cluster randomized trials.
@ast
Quantifying the impact of fixe ...... for cluster randomized trials.
@en
P2860
P356
P1433
P1476
Quantifying the impact of fixe ...... for cluster randomized trials.
@en
P2093
Rebecca R Andridge
P2860
P356
10.1002/BIMJ.201000140
P577
2011-02-01T00:00:00Z