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for two-sided type I error, a, power 1-b, event rate in population p, hazard ratio, hr and z the Standard Normal (or probit) function. for two-sided type I error, ''a'', power ''1-b'', event rate in population ''p'', hazard ratio, ''hr'' and ''z'' the Standard Normal (or probit) function.

Survival analysis sample size calculations

Total sample size may be evaluated for comparing hazard rates (per unit time) using this [attachment:coxsamp.xls spreadsheet] which uses a simple formula taken from Collett (2003) [http://stats.stackexchange.com/questions/7508/power-analysis-for-survival-analysis illustrated here] corresponding to a group regression estimate (ratio of hazards) in a Cox regression model. Alternatively the effect size can be expressed in terms of ratios of group survival rates as used by the power calculator given [http://www.stattools.net/SSizSurvival_Pgm.php here.]

In particular Collett(2003) gives the total sample size, d, required as

d = $$\frac{(z_text{a/2} + z_text{b/2})text{2}}{p(1-p)log(hr)text{2}}$$

for two-sided type I error, a, power 1-b, event rate in population p, hazard ratio, hr and z the Standard Normal (or probit) function.

Reference

Collett, D (2003) Modelling Survival Data in Medical Research Second Edition. Chapman and Hall:London

None: FAQ/power/hazN (last edited 2025-09-17 10:58:31 by PeterWatson)