Category Archives: Imputation based approaches

Imputation based approaches

Multiple imputation for informatively censored time to event data – the InformativeCensoring R package

The R package InformativeCensoring, available on CRAN, can be used to perform multiple imputation for a time to event outcome when it is believed censoring may be informative. Two methods are implemented. The first, based on Jackson et al 2014, … Continue reading

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Stepwise imputation for marginal model based on previous residuals

Quick summary The macro MIStep duplicates many of the facilities in MONOTONE REG statement in proc MI, but adds the facility to regress on previous residuals rather than previous absolute values. This allows it to fit marginal methods such as … Continue reading

Reference-based MI via Multivariate Normal RM (the “five macros” and MIWithD)

Quick summary The “five macros” fit a Bayesian Normal RM model and then impute post withdrawal data under a series of possible post-withdrawal profiles including J2R, CIR and CR as described by Carpenter et al [Carpenter, J. R., Roger, J., … Continue reading

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