- When is complete case analysis unbiased?
- Multiple imputation with interactions and non-linear terms
- Multiple imputation using random forest
- Missing covariates in structural equation models
- When is complete case/records logistic regression unbiased?
- Including the outcome in imputation models of covariates
- Substantive model compatible imputation of covariates – smcfcs in R
- Multiple imputation followed by deletion of imputed outcomes
- Missing covariates in competing risks analysis
- Weighting after multiple imputation for MNAR sensitivity analysis not recommended
- smcfcs in R – updated version 1.1.1 with critical bug fix
- On the missing at random assumption in longitudinal trials
- Multiple imputation for missing covariates in Poisson regression
- Combining bootstrapping with multiple imputation
- Imputing missing covariates in nested case-control and case cohort studies
- Maximum likelihood multiple imputation
- smcfcs – non-linear relationships between covariates
- Multiple imputation when estimating relative risks
- Missing not at random sensitivity analysis with FCS multiple imputation
- Combining bootstrapping and multiple imputation under uncongeniality
- Critical bug fix for smcfcs in Stata
- Understanding missing at random dropout using DAGs
- Reference based imputation for continuous missing data in R with bootstrap inference
- Bootstrapping multiple imputation using multiple cores/processors in R
- Conference talk video – Bootstrap Inference for Multiple Imputation Under Uncongeniality and Misspecification
- Imputation of covariates for Fine & Gray cumulative incidence modelling with competing risks
- P-values after multiple imputation using mitools in R
- Convergence plots for smcfcs in R
- Auxiliary variables and congeniality in multiple imputation
- Is MAR dropout classified as MNAR according to Mohan and Pearl?
- Reference based multiple imputation – what’s the right variance and how to estimate it?
- Multiple imputation separately by groups in R and Stata
- smcfcs imputation in R – now with parallel functionality
- Summary statistics after imputation with mice
- Conditional mean reference-based multiple imputation
- How many imputations with mice? Assessing Monte-Carlo error after multiple imputation in R
- Multiple imputation with splines in R using smcfcs
- Perfect prediction handling in smcfcs for R
- Multiple imputation for missing baseline covariates in discrete time survival analysis
- Multiple imputation and its application – 2nd edition published
- Variance estimation for reference-based multiple imputation – the debate continues
- Multiple imputation for missing covariates in the Fine & Gray model for competing risks