Evaluation of Failure Time Surrogate Endpoints in Individual Patient Data Meta-Analyses
Assesses the convergence of fitted models for surrogacy evaluation
Leave-one-trial-out cross-validation for treatment effect prediction
Transform survival data for fitting a Poisson model
Generate survival times for two endpoints in a meta-analysis of random...
Surrogate threshold effect
tools:::Rd_package_title("surrosurv")
Fit and print the models for evaluating the surrogacy strength of a ca...
Provides functions for the evaluation of surrogate endpoints when both the surrogate and the true endpoint are failure time variables. The approaches implemented are: (1) the two-step approach (Burzykowski et al, 2001) <DOI:10.1111/1467-9876.00244> with a copula model (Clayton, Plackett, Hougaard) at the first step and either a linear regression of log-hazard ratios at the second step (either adjusted or not for measurement error); (2) mixed proportional hazard models estimated via mixed Poisson GLM (Rotolo et al, 2017 <DOI:10.1177/0962280217718582>).