Hi, STATA community, hope you will help with the advice or provide the relevant link to litterature.

In my randomised study I did 4 Measurements of functional tests. And there are of course some missing values: Whole population : 370 persons, many of the persons lacking one or more values. I did a mixed model to see the effect of my intervetion in to ways: complete case analyses and did worst value forward imputation.

And for some functional tests I get significant improvement in worst case imputation which became non-significant in complete cases, and vice versa for other: non-significant in complete cases and significant in worst value imputation.

How do I Draw a right complusion: should I use completed cases or worst value imputed dataset?

Thanks alot in advance for your replays.

Sincerely, Natallia

In my randomised study I did 4 Measurements of functional tests. And there are of course some missing values: Whole population : 370 persons, many of the persons lacking one or more values. I did a mixed model to see the effect of my intervetion in to ways: complete case analyses and did worst value forward imputation.

And for some functional tests I get significant improvement in worst case imputation which became non-significant in complete cases, and vice versa for other: non-significant in complete cases and significant in worst value imputation.

How do I Draw a right complusion: should I use completed cases or worst value imputed dataset?

Thanks alot in advance for your replays.

Sincerely, Natallia

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