IPMW handles only monotone missing data (only a single variable with missing data). This is fine but data missing for multiple variable simultaneously is more common in practice. There has been a recent proposal to use an AIPW to correct for missing data (under the MAR assumption)
Papers say it is easy to implement with existing software. Will have to see how true this is...
IPMW handles only monotone missing data (only a single variable with missing data). This is fine but data missing for multiple variable simultaneously is more common in practice. There has been a recent proposal to use an AIPW to correct for missing data (under the MAR assumption)
Papers say it is easy to implement with existing software. Will have to see how true this is...
https://academic.oup.com/aje/article/187/3/585/4642953 https://amstat.tandfonline.com/doi/abs/10.1080/01621459.2016.1256814#.XDOLZVxKhGM
Will require the renaming of the current
AIPWtoAIPTW(something I have been meaning to do)