Evaluation of Individual-Level Surrogacy for Survival and Ordinal Endpoints
An implementation of Kendall’s rank correlation coefficient for survival and ordinal endpoints:
- Oakes D. A model for association in bivariate survival data. Journal of the Royal Statistical Society: Series B (Methodological) 1982; 44(3): 414–422. doi:10.1111/j.2517-6161.1982.tb01222.x.
- Lakhal L, Rivest L-P, Beaudoin D. IPCW estimator for Kendall’s tau under bivariate censoring. International Journal of Biostatistics 2009; 5(1): Article 8. doi:10.2202/1557-4679.1121.
- Okui J, Nagashima K, Matsuda S, Sato Y, Kawakubo H, Ruhstaller T, Thuss-Patience P, Nilsson M, Klevebro F, Tan L, Zhang S, Aparicio T, Piessen G, van der Zijden C, Mostert B, Wijnhoven BPL, Tsushima T, Takeuchi H, Kato K, Kitagawa Y. Evaluation of pathological complete response as a surrogate endpoint for overall survival in resectable oesophageal cancer: integrated analysis of individual patient data from phase III trials. British Journal of Surgery 2025; 112(6): znaf131. doi:10.1093/bjs/znaf131.
Installation
# The development version from GitHub:
# install.packages("devtools")
devtools::install_github("nshi-stat/surrosurvo")
# From CRAN (will be released):
# install.packages("surrosurvo")