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The same trends were observed for all methods regarding statistical power, whatever the type of missing data considered (intermittent missing items or missing forms).
To investigate the impact of excluding 323 T2DM cases and 405 members of the subcohort with missing data on covariates, a third sensitivity analysis was conducted by multiple imputation of missing data considered missing at random (based on 5, 10 and 50 imputations) in cases and non-cases.
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First, we performed a complete case analysis, a method for dealing with missing data considering only participants with recorded values for all covariates, 23 meaning that only patients with at least one serum sodium measurement during their hospitalisation were included in the analysis.
Two types of intermittent missing data were considered: intermittent missing forms and intermittent missing items.
Note that since no missing data were considered, all theoretical distributions for association tests within MB-MDR, whatever SNP pair is considered, should be F 1,498).
Hence, the so-called nonparametric Behrens Fisher problem for matched pairs with missing data is considered.
As these tests are usually ordered based on clinical suspicion, missing data were considered normal (i.e., if serum albumin or arterial pH was not measured, hypoalbuminemia and acidosis were coded as absent), similarly to APACHE score calculation.
The impact of missing data, as considered using MIs, is unknown.
Only parameters with less than 15% of missing data were considered.
The pattern of missing data was considered to be at random (MAR).
If imputed estimates were unavailable, participants with missing data were considered non-responders.
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CEO of Professional Science Editing for Scientists @ prosciediting.com