Create Analyse Functions for Group Sequential Design

Summarise Output from Analyse Functions for Group Sequential Design

Usage

analyse_group_sequential(followup, followup_type, alpha, analyse_functions)

summarise_group_sequential(name = NULL)

Arguments

followup: followup events or time
followup_type: "events" or "time"
alpha: nominal alpha at each stage
analyse_functions: analyse function or list of analyse functions
name: name attribute of the returned closure

Value

an analyse function that can be used in runSimulation

Returns a function with the arguments:

condition
results
fixed objects

that can be passed to create_summarise_function or to SimDesign::runSimulation and that returns a data.frame.

Details

followup, followup_type and alpha are evaluated for every simulated dataset, i.e. the arguments to the Analyse function are available, expressions like followup=c(condition$interim, condition$max_followup) are valid arguments.

analyse_functions should take arguments condition, dataset and fixed_objects and return a list conatining p-value, number of patients and number of event in the columsn p, N_pat and N_evt.

Functions

summarise_group_sequential(): Summarise Output from Analyse Functions for Group Sequential Design

Examples

# create a function to analyse after interim_events and maximum followup time
# given in the condition row of the design data.frame with given
# nominal alpha
analyse_maxcombo_sequential <- analyse_group_sequential(
  followup = c(condition$interim_events, condition$followup),
  followup_type = c("event", "time"),
  alpha = c(0.025, 0.05),
  analyse_functions = analyse_maxcombo()
)
Summarise <- create_summarise_function(
  maxcombo_seq = summarise_group_sequential(),
  logrank_seq = summarise_group_sequential(name="logrank")
)