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AIPW for nonmonotone missing data #55

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pzivich opened this issue Jan 7, 2019 · 0 comments
Open

AIPW for nonmonotone missing data #55

pzivich opened this issue Jan 7, 2019 · 0 comments
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Causal inference Updates for the causal inference branch enhancement Long-term Issues/additions that are longer term goals wishlist Items I want to add but lack the knowledge presently

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pzivich commented Jan 7, 2019

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 AIPWto AIPTW (something I have been meaning to do)
@pzivich pzivich added enhancement Long-term Issues/additions that are longer term goals wishlist Items I want to add but lack the knowledge presently labels Jan 7, 2019
This was referenced Jan 9, 2019
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@pzivich pzivich mentioned this issue Jan 23, 2019
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@pzivich pzivich added the Causal inference Updates for the causal inference branch label Apr 18, 2019
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