Abstract

Traditional approaches to indirect or mixed comparison of treatments may not always be appropriate or feasible; novel approaches like simulated treatment comparison and matching adjusted indirect comparisons can overcome challenges like heterogeneity in study populations or incomplete or interrupted evidence networks. Traditional approaches to indirect or mixed comparison of treatments may not always be appropriate or feasible; novel approaches like simulated treatment comparison and matching adjusted indirect comparisons can overcome challenges like heterogeneity in study populations or incomplete or interrupted evidence networks.