Solution

ID: past-exam-of-the-mathematics-course-of-the-university-of-cambridge/2019/iii/paper-207/3/3/a/solution

A missingness mechanism is ignorable for likelihood-based inference about the outcome parameter when the observed-data likelihood can be formed from the outcome model alone. The standard sufficient conditions are MAR and distinct parameters: the outcome-model parameter and missingness-model parameter have a product parameter space. The missingness indicators then carry no additional likelihood information about the outcome parameter once the observed outcomes are given.

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