Calculate blinded statistical information — calculate_blinded

Estimates the blinded dispersion and event rate from aggregated interim data and calculates the observed statistical information for the log rate ratio, assuming the planned allocation ratio and treatment effect.

Usage

calculate_blinded_info(
  data,
  ratio = 1,
  lambda1_planning,
  lambda2_planning,
  event_gap = NULL
)

Arguments

data: A data frame containing the blinded interim data. Must include columns events (number of events) and tte (total exposure/follow-up time).
ratio: Planned allocation ratio (experimental / control). Default is 1.
lambda1_planning: Planned event rate for the control group.
lambda2_planning: Planned event rate for the experimental group.
event_gap: Optional. Gap duration (numeric) to adjust planning rates if provided. If provided, planning rates are adjusted as lambda / (1 + lambda * gap).

Value

A list containing:

blinded_info: Estimated statistical information.
dispersion_blinded: Estimated dispersion parameter (k).
lambda_blinded: Estimated overall event rate.
lambda1_adjusted: Re-estimated control rate.
lambda2_adjusted: Re-estimated experimental rate.