Substantive model compatible multilevel multiple imputation: A joint modeling approach

Multiple imputation methods for handling incomplete longitudinal and clustered data where the target analysis is a linear mixed effects model

(2020) Md Hamidul Huque et al.   BIOMETRICAL JOURNAL

Sensitivity analysis for clinical trials with missing continuous outcome data using controlled multiple imputation: A practical guide

(2020) Suzie Cro et al.   STATISTICS IN MEDICINE

Using simulation studies to evaluate statistical methods

(2019) Tim P. Morris et al.   STATISTICS IN MEDICINE

Multiple imputation for discrete data: Evaluation of the joint latent normal model

(2019) Matteo Quartagno et al.   BIOMETRICAL JOURNAL

Multiple Imputation for Multilevel Data with Continuous and Binary Variables

(2018) Vincent Audigier et al.   STATISTICAL SCIENCE

Multiple imputation by chained equations for systematically and sporadically missing multilevel data

(2016) Matthieu Resche-Rigon et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Dealing with missing covariates in epidemiologic studies: a comparison between multiple imputation and a full Bayesian approach

(2016) Nicole S. Erler et al.   STATISTICS IN MEDICINE

Fitting Linear Mixed-Effects Models Usinglme4

(2015) Douglas Bates et al.   Journal of Statistical Software

Multiple imputation for IPD meta-analysis: allowing for heterogeneity and studies with missing covariates

(2015) M. Quartagno et al.   STATISTICS IN MEDICINE

Imputation of systematically missing predictors in an individual participant data meta-analysis: a generalized approach using MICE

(2015) Shahab Jolani et al.   STATISTICS IN MEDICINE

Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model

(2014) Jonathan W Bartlett et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Fitting multilevel multivariate models with missing data in responses and covariates that may include interactions and non-linear terms

(2013) Harvey Goldstein et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY

Dealing With Missing Outcome Data in Randomized Trials and Observational Studies

(2011) Rolf H. H. Groenwold et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Quantifying the impact of fixed effects modeling of clusters in multiple imputation for cluster randomized trials

(2011) Rebecca R. Andridge   BIOMETRICAL JOURNAL

Review of inverse probability weighting for dealing with missing data

(2011) Shaun R Seaman et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Random covariances and mixed-effects models for imputing multivariate multilevel continuous data

(2011) Recai M Yucel   STATISTICAL MODELLING

A Multifaceted Intervention to Implement Guidelines and Improve Admission Paediatric Care in Kenyan District Hospitals: A Cluster Randomised Trial

(2011) Philip Ayieko et al.   PLOS MEDICINE

Multilevel models with multivariate mixed response types

(2009) Harvey Goldstein et al.   STATISTICAL MODELLING