I would be very grateful for a gentle sanity check on adjusting survival times in my comparison groups. The scenario: I am using Cox regression to calculate HR risks over some covariates of interest.
My population is observed for six months, starting from the index event when a patient makes a medical complaint. There are a few competing events: death, leaving the study, lost-to-following-up, and remission. The population is split into two groups:
- exposed (cases) when a patient has a record of drug exposure within 60 days from the Index date.
- not exposed (controls) those patients without a record of drug exposure during the observation period.
All the patients in my exposed (cases) group have an immortal time bias because we know they can't have any competing risk (death, remission, etc.) until they've first had exposure within the initial 60 days after Index.
As far as I understand, there are several approaches to adjusting the survival times of the exposed group. However, my question is, do I need to do anything to the survival-times of the not-exposed (control) group? Thanks.
To answer my question, I will use a "Landmark" approach to treat the immortal time bias. This involves adjusting survival times in both groups by the same about of time.