Statistical Challenges in the Identification, Validation, and Use of Surrogate Markers (20w5208)

Organizers

Layla Parast (RAND)

Peter Gilbert (Fred Hutchinson Cancer Center)

Lang Wu (The University of British Columbia)

Description

The Casa Matemática Oaxaca (CMO) will host the "Statistical Challenges in the Identification, Validation, and Use of Surrogate Markers" workshop in Oaxaca, from August 23 to August 28, 2020.


In studies examining the effectiveness of an intervention, the availability of a surrogate marker that could be used to estimate the intervention effect and could be observed earlier than the primary outcome would allow researchers to make conclusions regarding effectiveness with less required follow-up time. Statistical methodological research on identifying such surrogate markers, assessing the value of such markers, determining when these markers should be collected, and developing tools to use these markers for future studies has led to numerous available methods and has highlighted a number of limitations. There is little agreement on the appropriate approach to identify, validate, and use surrogate markers. This workshop will bring together statisticians, biostatisticians, and epidemiologists to build on recent methodological advances in the evaluation of surrogate markers to identify robust methods that could appropriately be used in practice while also quantifying potential risks if certain necessary assumptions are violated


The Casa Matemática Oaxaca (CMO) in Mexico, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, are collaborative Canada-US-Mexico ventures that provide an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station in Banff is supported by Canada's Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF), Alberta's Advanced Education and Technology, and Mexico's Consejo Nacional de Ciencia y Tecnología (CONACYT). The research station in Oaxaca is funded by CONACYT