I have pre-post intervention data on a very small number of subjects (n=7).
The coutcome is continuous; measurements were taken across time at pre- and post-intervention for each patient. Time was not measured consistently, so 1 patient may have measurements at 3, 5, 7, and 9 while another may have 1, 5, 6, and 8.
My research question is: Is the intervention effective in lowering the outcome measurement? Although time was measured, outcome measurements over time is actually not part of our hypothesis.
What statistical test would I use to best assess this data? Would time be a time-varying covariate here?