The doubly-robust method of G-estimation can be used to estimate an adaptive treatment strategy in which parameters are shared across different stages of the treatment sequence, allowing for more efficient estimation and simpler treatment decision rules. The approach is computationally stable, and produces consistent estimators provided either the outcome model or the treatment allocation model is correctly specified. In this talk, the method and several of its attractive features will be demonstrated in the context of rheumatoid arthritis, which is a chronic inflammatory condition that can require ongoing treatment.