Compute statistical information at analysis time — compute_info_at

Computes the statistical information for the log rate ratio at a given analysis time, accounting for staggered enrollment and varying exposure times.

Usage

compute_info_at_time(
  analysis_time,
  accrual_rate,
  accrual_duration,
  lambda1,
  lambda2,
  dispersion,
  ratio = 1,
  dropout_rate = 0,
  event_gap = 0,
  max_followup = Inf
)

Arguments

analysis_time: The calendar time of the analysis.
accrual_rate: The enrollment rate (subjects per time unit).
accrual_duration: The duration of the enrollment period.
lambda1: Event rate for group 1 (control).
lambda2: Event rate for group 2 (treatment).
dispersion: The negative binomial dispersion parameter.
ratio: Allocation ratio (n2/n1). Default is 1.
dropout_rate: Dropout rate (hazard rate). Default is 0.
event_gap: Gap duration after each event during which no new events are counted. Default is 0.
max_followup: Maximum follow-up time per subject. Exposure time is truncated at this value. Default is Inf (no truncation).

Value

The statistical information (inverse of variance) at the analysis time.

Examples

compute_info_at_time(
  analysis_time = 12,
  accrual_rate = 10,
  accrual_duration = 10,
  lambda1 = 0.5,
  lambda2 = 0.3,
  dispersion = 0.1
)
#> [1] 51.9802