Software
R Packages
R Packages
R Shiny Applications
R Shiny Applications
"Getting thrifty with data quality: Efficient two-phase designs for error-prone data," Invited talk @ the University of South Carolina, Department of Biostatistics, Columbia, SC, December 2021. [Slides]
“Bypassing the proportional hazards assumption in semiparametric conditional survival modeling,” Contributed talk @ ENAR Spring Meeting, Houston, TX, March 2022. [Abstract][Slides]
“Robust multiple imputation of censored covariates under non-proportional hazards in a study of Huntington's disease,” Invited talk @ Joint Statistical Meetings, Washington DC, August 2022. [Abstract][Slides]