Efficient Testing Using Surrogate Information
Estimates the standard error of the pooled treatment effect quantity.
Calculates whether each individual has a strong surrogate, based on PT...
Calculates the estimated power for a future Study B or the required sa...
Estimates the pooled treatment effect quantity, standard error, and co...
Function for extrapolating NA values from kernel smoothing
Calculates the conditional expectation of the primary outcome from the...
Provides functions for treatment effect estimation, hypothesis testing, and future study design for settings where the surrogate is used in place of the primary outcome for individuals for whom the surrogate is valid, and the primary outcome is purposefully measured in the remaining patients. More details are available in: Knowlton, R., Parast, L. (2024) ``Efficient Testing Using Surrogate Information," Biometrical Journal, 67(6): e70086, <doi:10.1002/bimj.70086>. A tutorial for this package can be found at <https://www.laylaparast.com/etsi>.