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| In particular Collett(2003) gives the total sample size, d, required as d = $$\frac{[z(\alpha/2) + z(\beta/2)]^text{2}}{p(1-p)log(hr)^text{2}}$$ for two-sided type I error, $$\alpha$$, power 1-$$\beta$$, event rate in population p and hazard ratio, hr. |
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 = $$\frac{[z(\alpha/2) + z(\beta/2)]text{2}}{p(1-p)log(hr)text{2}}$$
for two-sided type I error, $$\alpha$$, power 1-$$\beta$$, event rate in population p and hazard ratio, hr.
Reference
Collett, D (2003) Modelling Survival Data in Medical Research Second Edition. Chapman and Hall:London
