Incremental Causal Effect for Time to Treatment Initialization
Andrew Ying Zhichen Zhao Ronghui Xu
We consider time to treatment initialization. This can commonly occur in preventive medicine, such as disease screening and vaccination; it can also occur with non-fatal health conditions such as HIV infection without the onset of AIDS. While traditional causal inference focused on ‘when to treat’ and its effects, including their possible dependence on subject characteristics, we consider the incremental causal effect when the intensity of time to treatment initialization is intervened upon. We provide identification of the incremental causal effect without the commonly required positivity assumption, as well as an estimation framework using inverse probability weighting. We illustrate our approach via simulation, and apply it to a rheumatoid arthritis study to evaluate the incremental effect of time to start methotrexate on joint pain.
Causal Inference, Positivity, Incremental intervention, Incremental Causal Effect, Inverse probability weighting
We propose a novel causal estimand for studies with continuous time to initialize treatment.