Creates Group Sequential Trial Designs when Early Outcomes are Available
Expected sample size for a gsearly model
Fixed model sample size for a gsearly model
Group sequential designs with early outcomes
Fit a generalized least squares model
Model based estimates of sample size and power for group sequential de...
Order a data frame by subject and ordered time variable
Exponential correlation matrix
Uniform correlation matrix
Simulates data for a previously fitted gsearly model
User input estimates of sample size and power for group sequential des...
Estimates model parameters from raw data
Plot a gsearly model
A boundary plot for a gsearly model
An information plot for a gsearly model
A power plot for a gsearly model
A recruitment plot for a gsearly model
Print a gsearly model
Print a gsearly model summary
Round a gsearly design interim sample size to integer values
Extract simulated data for a single trial
Summarise a gsearly model
Standardize follow-up times
Methods to construct and power group sequential clinical trial designs for outcomes at multiple times. Outcomes at earlier times provide information on the final (primary) outcome. A range of recruitment and correlation models are available as are methods to simulate data in order to explore design operating characteristics. For more details see Parsons (2024) <doi:10.1186/s12874-024-02174-w>.