In observational and clinical research, the validity of your conclusions often hinges on a single assumption: that your control group is meaningfully comparable to your exposure or intervention group. When this assumption fails, even technically correct analyses can produce misleading results.
Assessing comparability is not a box-checking exercise. It requires deliberate evaluation of study design, data structure, and baseline characteristics, long before modeling begins.
