A <complete-case analysis> estimates each success probability among clinic attenders. If attendance depends on the unobserved outcome even after conditioning on treatment, the observed success proportions differ systematically from those in the randomized groups. This outcome-dependent dropout causes <selection bias> and can bias their difference.

Solution

Past exam of the mathematics course of the University of Cambridge / 2022 / iii / Paper 207 / 2 / 2 / 3 / Solution

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A complete-case analysis uses only observations for which every variable required by the analysis is observed. It can be biased when completeness selects observations according to their outcomes or other relevant variables.


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 Incoming links: Complete-case analysis