Imputation for Gaussian Repeated Measures with time changing covariates.
Imputation of Recurrent event data for partial observed off-treatment data
Multiple imputation for informatively censored time to event data – the InformativeCensoring R package
Multiple imputation for time to event data under Kaplan-Meier, Cox or piecewise-exponential frameworks – SAS macros
Plot and compare up to 2 control-based approaches.
Reference-based MI for Negative Binomial discrete data – R package dejaVu
Reference-based MI for Negative Binomial discrete data – SAS macros
Reference-based MI via Multivariate Normal RM (the “five macros” and MIWithD)
SAS macro for imputation under generalized linear mixed model
Sequential imputation with tipping point and delta adjustment
Stepwise imputation for marginal model based on previous residuals
Vansteelandt et al’s 2012 doubly robust method
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