How to calculate appropriate sample size in Cox proportional hazard analysis with cross tabulation?

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In this article, I’d like to describe how to calculate appropriate sample size in Cox proportional analysis with cross tabulation, a error and b error. a error is called as statistical significance or type 1 error and b error is called as type 2 error, respectively. 1 – b is called as statistical power. a is usually configured at 0.05 (two-tailed) and b is configured at 0.2 (one-sided), respectively. As a result, Za/2 is 1.96 and Zb is 0.84, respectively.

I’d like to assume that S1 is survival rate of risk group or intervention group and S0 is survival rate of control group, without risk or intervention. q is ratio of logarithm of them.

\displaystyle LN(S_1) = Exp(B)LN(S_0)\vspace{0.1in}\\\theta = Exp(B) = \frac{LN(S_1)}{LN(S_0)}

I’d like to use cross tabulation here. You can replace endpoint with death or failure.

ENDPOINT CENSOR Marginal total
POSITIVE a b a + b
NEGATIVE c d c + d
Marginal total a + c b + d N
\displaystyle S_1 = \frac{b}{a+b}\vspace{0.1in}\\S_0 = \frac{d}{c+d}

You can calculate estimated number of death (e) in both group as following formula by Freedman’s approximate calculation.

\displaystyle e = \left(\frac{\theta+1}{\theta-1}\right)^2(Z_{\alpha/2}+Z_\beta)^2

You can calculate entry size (n) in each group, as following formula.

\displaystyle e = n(1-S_0)+n(1-S_1)\vspace{0.1in}\\n = \frac{e}{2 - S_0 - S_1}

You have to correct entry size with drop-out rate (w) as following formula. Throughout trial, two times of n is needed.

\displaystyle n = \frac{e}{(2 - S_0 - S_1)(1-w)}

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