Related references
Note: Only part of the references are listed.Quantifying the impact of fixed effects modeling of clusters in multiple imputation for cluster randomized trials
Rebecca R. Andridge
BIOMETRICAL JOURNAL (2011)
Bias and efficiency of multiple imputation compared with complete-case analysis for missing covariate values
Ian R. White et al.
STATISTICS IN MEDICINE (2010)
Meta-analysis of individual participant data: rationale, conduct, and reporting
Richard D. Riley et al.
BMJ-BRITISH MEDICAL JOURNAL (2010)
A re-evaluation of random-effects meta-analysis
Julian P. T. Higgins et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY (2009)
Systematically missing confounders in individual participant data meta-analysis of observational cohort studies
[Anonymous]
STATISTICS IN MEDICINE (2009)
Multiple imputation inference for multivariate multilevel continuous data with ignorable non-response
Recai M. Yucel
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2008)
Comparison of methods of handling missing data in individual patient data meta-analyses: An empirical example on antibiotics in children with acute otitis media
Laura Koopman et al.
AMERICAN JOURNAL OF EPIDEMIOLOGY (2008)
The Emerging Risk Factors Collaboration: analysis of individual data on lipid, inflammatory and other markers in over 1.1 million participants in 104 prospective studies of cardiovascular diseases
[Anonymous]
EUROPEAN JOURNAL OF EPIDEMIOLOGY (2007)
Meta-analysis of individual patient data from randomized trials: a review of methods used in practice
MC Simmonds et al.
CLINICAL TRIALS (2005)
Computational strategies for multivariate linear mixed-effects models with missing values
JL Schafer et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2002)