Covariate adjustment in randomized studies with time-to-event endpoints

Dr. Iván Díaz, Assistant Professor of Biostatistics at Weill Cornell Medicine, works on methods for statistical learning and causal inference from observational and randomized studies with complex designs and datasets. He discusses the advantages of covariate adjustment in randomized studies with time-to-event endpoints, and application of TMLE and Super Learning.