Survival Analysis · SURV-1S
Sample Size for Testing One Survival Probability
Plan a one-sided single-arm test of a Kaplan–Meier survival probability at one prespecified landmark time.
4. Results
Enter the study assumptions and select Calculate.
Suggested sample-size wording
Formula, assumptions, limitations, and methodological note
Example clinical scenario
A researcher tests whether five-year disease-free survival after a new treatment exceeds a historical benchmark while accounting for censoring.
Formula and methodological note
Uses the Nagashima–Noma–Sato–Gosho one-sample Kaplan–Meier arcsine square-root method. It is a directional, one-sided fixed-time survival-probability calculation.
Administrative censoring is included in the variance calculation. Random loss to follow-up is not modelled there and is handled only through the separate recruitment inflation. This calculator supports planning and does not replace statistical consultation.
It does not cover median survival, complete survival-curve tests, one-sample log-rank tests, two-sided designs, competing risks, recurrent events, cluster designs, interim monitoring, or arbitrary non-exponential survival planning.
Technical results
Method references
- Nagashima K, Noma H, Sato Y, Gosho M. Sample size calculations for single-arm survival studies using transformations of the Kaplan–Meier estimator. Pharm Stat. 2021;20:499–511.
- Kaplan EL, Meier P. Nonparametric estimation from incomplete observations. J Am Stat Assoc. 1958;53:457–481.
- Breslow N, Crowley J. A large sample study of the life table and product-limit estimates under random censorship. Ann Stat. 1974;2:437–453.
- Thomas DR, Grunkemeier GL. Confidence interval estimation of survival probabilities for censored data. J Am Stat Assoc. 1975;70:865–871.
- Greenwood M. A Report on the Natural Duration of Cancer. London: HMSO; 1926.
Suggested citation
Yaacob, Najib Majdi. “Sample Size for Testing One Survival Probability (SURV-1S).” Web calculator. NajibMY, 2026. Accessed July 29, 2026. https://najibmy.netlify.app/tools/sample-size/survival-analysis/testing-one-survival-probability/.