R: Group Sequential Clinical Trial Designs for Composite Endpoints

# Group Sequential Clinical Trial Designs for Composite Endpoints

## Documentation for package ‘gsMeanFreq’ version 0.1.0

- DESCRIPTION file
- Package README

## Help Pages

Apply.calendar.censoring | Function to apply a given calendar time as effective censoring time.
Apply.calendar.censoring.2 | Function to apply a given calendar time as effective censoring time for two-sample composite endpoint data.
find.beta.trt | Function to solve for treatment effect size given target power for two-sample tests.
find.c | Function to solve for a group sequential critical value at a given stage
find.Delta.given.power | Function to solve for the mean frequency effect size given target power for one-sample simulations.
find.lambda_0.given.Delta | Function to solve for the baseline recurrent event rate given a mean frequency difference for one-sample simulations.
find.lambda_0.given.mu0 | Function to solve for the baseline recurrent event rate given a target mean frequency for one-sample simulations.
OBF | O'Brien-Flemming error spending function.
OneSample.Estimator.sequential | Function to estimate the one-sample mean frequency under a group sequential design.
Onesample.generate.sequential | Function to simulate one-sample composite endpoint data under staggered entry.
Solve.beta.given.power | Function to solve for the treatment effect parameter to achieve target power by Monte Carlo simulation.
True.mu | Function to calculate the true value of the mean frequency function.
TwoSample.Boundary.TTFE | Function to calculate the sequential rejection boundaries for the time-to-first-event (TTFE) method.
TwoSample.Constant.GT | Function to compute calibration constants for the two-sample generalized-t statistics.
TwoSample.Constant.LR | Function to compute calibration constants for the two-sample generalized log-rank statistics.
TwoSample.Estimator.GT.sequential | Function to calculate the two-sample generalized-t statistic for composite endpoint under sequential monitoring.
TwoSample.Estimator.LR.sequential | Function to calculate the two-sample generalized log-rank statistic for composite endpoint under sequential monitoring.
TwoSample.Estimator.TTFE.sequential | Function to calculate the Z statistics and variance for the time-to-first-event (TTFE) method.
TwoSample.generate.sequential | Function to simulate two-sample composite endpoint data under staggered entry.
TwoSample.Q.Cov.Estimator.Sequential.GT | Function to calculate stage-wise test statistics, variances, and correlation for two-sample generalized-t statistics.
TwoSample.Q.Cov.Estimator.Sequential.LR | Function to calculate stage-wise test statistics, variances, and correlation for two-sample generalized log-rank statistics.
TwoSample.Wald.and.Boundary | Function to calculate the Wald statistics and group sequential boundaries for two-sample monitoring.
TwoSample.Z.Var.Estimator.Sequential.TTFE | Function to calculate the two-sample time-to-first-event (TTFE) statistics and variances across multiple calendar times.