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. 2020 Aug 26;370:m2898. doi: 10.1136/bmj.m2898

Table 2.

List and description of different methods of handling missing outcome data

Method of handling missing data Handling participants with missing data in the numerator and denominator
Intervention arm Control arm
Complete case analysis Numerator excluded Denominator excluded Numerator excluded Denominator excluded
Implausible but commonly discussed assumptions:
 Best case scenario* Assumed that all had a favourable outcome Denominator included Assumed that all had an unfavourable outcome Denominator included
 None of the participants with missing data had the outcome Assumed that none had the outcome Denominator included Assumed that none had the outcome Denominator included
 All participants with missing data had the outcome Assumed that all had the outcome Denominator included Assumed that all had the outcome Denominator included
 Worst case scenario† Assumed that all had an unfavourable outcome Denominator included Assumed that all had a favourable outcome Denominator included
Plausible assumptions‡:
 IMOR 1.5 IMOR 1.5§ Denominator included IMOR 1 Denominator included
 IMOR 2 IMOR 2§ Denominator included IMOR 1 Denominator included
 IMOR 3 IMOR 3§ Denominator included IMOR 1 Denominator included
 IMOR 5 IMOR 5§ Denominator included IMOR 1 Denominator included

IMOR=informative missing odds ratio

*

When applying best case scenario, it was ensured it challenges the relative effect by shifting it away from the null value of no effect (see statistical notes in appendix section 3).

When applying worst case scenario, it was ensured it challenges the relative effect by shifting it closer to the null value of no effect (see statistical notes in appendix section 3).

The “metamiss” command25 26 was used to implement the IMOR assumptions in Stata.

§

These calculations are applied when the relative effect is less than 1. When a relative effect is greater than 1, the values for the IMOR are flipped between the intervention and control arm whereby it is 1 for the intervention arm. For example, when an original relative effect is greater than 1, the IMOR value for the intervention arm would be 1 and that of the control arm would be 5.