Let $A_i$ be treatment, $Y_i=(Y_{i0},\ldots,Y_{i,12})$, and $R_i\in\{0,\ldots,12\}$ the last observed visit. The <missing at random> assumption is
$$
\boxed{
\mathbb P(R_i=r\mid A_i,Y_i)
=\mathbb P(R_i=r\mid A_i,Y_{i0},\ldots,Y_{ir})
}
$$
for every feasible $r$. Equivalently, each conditional dropout hazard may depend on treatment and observed QoL history but not on current or future unobserved QoL after conditioning on that history.

Solution

Past exam of the mathematics course of the University of Cambridge / 2019 / iii / Paper 207 / 3 / 2 / a / Solution

 Solution

ID: past-exam-of-the-mathematics-course-of-the-university-of-cambridge/2019/iii/paper-207/3/2/a/solution