Surrogate Marker Evaluation from an Information Theory Perspective
Alonso Abad, Ariel
- Publisher: Blackwell
The last 20 years have seen lots of work in the area of surrogate marker validation, partly devoted to frame the evaluation in a multitrial framework, leading to definitions in terms of the quality of trial- and individual-level association between a potential surrogate and a true endpoint (Buyse et al., 2000, Biostatistics 1, 49–67). A drawback is that different settings have led to different measures at the individual level. Here, we use information theory to create a unified framework, leading to a definition of surrogacy with an intuitive interpretation, offering interpretational advantages, and applicable in a wide range of situations. Our method provides a better insight into the chances of finding a good surrogate endpoint in a given situation. We further show that some of the previous proposals follow as special cases of our method. We illustrate our methodology using data from a clinical study in psychiatry.
We gratefully acknowledge support from the Belgian IUAP/PAI network “Statistical Techniques and Modeling for Com-plex Substantive Questions with Complex Data.”
hierarchical model; information theory; surrogate endpoints