Implementing the meta-analytic approach for the evaluation of surrogate endpoints in SAS and R: a word of caution Universiteit Hasselt KU Leuven
The meta-analytic approach has become the gold-standard methodology for the evaluation of surrogate endpoints and several implementations are currently available in SAS and R. The methodology is based on hierarchical models that are numerically demanding and, when the amount of data is limited, maximum likelihood algorithms may not converge or may converge to an ill-conditioned maximum such as a boundary solution. This may produce misleading ...