The next statistics seminar will be presented by Prof Layla Parast from the University of Texas at Austin.
Title: Robust Methods for Surrogate Marker Evaluation
Speaker:
Prof Layla Parast
Time and location : 2-3pm in Carslaw 173 or Zoom
Abstract :
For many clinical outcomes, randomized clinical trials to evaluate the effectiveness of a treatment or intervention require long-term follow-up of participants. In such settings, there is substantial interest in identifying and using surrogate markers - measurements or outcomes measured at an earlier time or with less cost that are predictive of the primary clinical outcome of interest - to evaluate the treatment effect. Several statistical methods have been proposed to evaluate potential surrogate markers including parametric and nonparametric methods to estimate the proportion of treatment effect explained by the surrogate, methods within a principal stratification framework, and methods for a meta-analytic setting i.e., where information from multiple trials is available. While useful, these methods generally do not address potential heterogeneity in the utility of the surrogate marker. In addition, available methods do not perform well when the sample size is small. In this talk, I will discuss various robust methods for surrogate marker evaluation including methods to examine and test for heterogeneity, and methods developed for the small sample setting. These methods will be illustrated using data from an AIDS clinical trial and a small pediatric trial among children with nonalcoholic fatty liver disease.