twoSurvSampleSizeNI: Sample Size Calculation for Two-Group Non-Inferiority Survival Study

Description

Calculates the required sample size and expected event numbers for a non-inferiority trial with two survival curves, using piecewise integration of hazard functions under exponential survival assumptions.

Usage

twoSurvSampleSizeNI(
  syear,
  yrsurv1,
  yrsurv2,
  alloc,
  accrualTime,
  followTime,
  alpha,
  power,
  margin
)

Value

A list containing:

Sample_size_of_standard_group: Required sample size in the standard group.
Sample_size_of_test_group: Required sample size in the test group.
Total_sample_size: Total sample size.
Expected_event_numbers_of_standard_group: Expected number of events in the standard group.
Expected_event_numbers_of_test_group: Expected number of events in the test group.
Total_expected_event_numbers: Total number of expected events across both groups.

Arguments

syear: Survival time horizon (e.g., median survival time) in years.
yrsurv1: Survival probability of the standard group at syear.
yrsurv2: Survival probability of the test group at syear.
alloc: Allocation ratio (Test / Standard), e.g., 1 means equal allocation.
accrualTime: Duration of patient accrual period.
followTime: Follow-up period after last patient is accrued.
alpha: One-sided significance level (e.g., 0.025).
power: Desired statistical power (e.g., 0.8).
margin: Non-inferiority margin for hazard ratio (HR).

References

Jung SH, Chow SC. (2012). On sample size calculation for comparing survival curves under general hypothesis testing. Journal of Biopharmaceutical Statistics, 22(3), 485–495.

Web calculator (Non-Inferiority): https://nshi.jp/en/js/twosurvyrni/

Examples

Run this code

twoSurvSampleSizeNI(
  syear = 2,
  yrsurv1 = 0.7,
  yrsurv2 = 0.65,
  alloc = 1,
  accrualTime = 1,
  followTime = 1,
  alpha = 0.025,
  power = 0.8,
  margin = 1.3
)

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