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Topic: "missing-not-at-random"

nbip/notMIWAE

Code accompanying the notMIWAE paper

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madelinecraft/Mitigating-the-Influence-of-Missing-Data

This project demonstrates that inaccurate conclusions may be drawn from partially observed data and proposes a strategy for mitigating such conclusions.

Language: R - Size: 525 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

xsswang/remiod

R package for controlled multiple imputation of ordinal or binary responses with missing data in clinical study

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