Accounting for missing data in statistical analyses: multiple imputation is not always the answer

Hughes et al. (Tue,) studied this question.

www.synapsesocial.com/papers/69d849828cb8f39931ae2d6f — DOI: https://doi.org/10.1093/ije/dyz032

Also consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1. Analysis of Incomplete Multivariate Data· 1997 · 5,977 citations
2. Statistical Analysis With Missing Data· 1989 · 17,512 citations
3. On the use of the not‐at‐random fully conditional specification (NARFCS) procedure in practice· 2018 · 67 citations
4. Multiple imputation using linked proxy outcome data resulted in important bias reduction and efficiency gains: a simulation study· 2017 · 28 citations
5. The proportion of missing data should not be used to guide decisions on multiple imputation· 2019 · 1,032 citations