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1.
Figure 2

Figure 2. From: Statistical strategies to improve the efficiency of molecular studies of colorectal cancer prognosis.

Minimum variance calculated at 80% power, α=0.05, overall death rate d=0.6, and total sample size N=1000 for comparison with marker variance estimated from n (nN) patients. The shaded area represents the rejection region. A 95% confidence interval of marker variance from n patients falling completely within this region suggests that the marker has little variability and likely insufficient power to predict survival, even if all data from N patients were collected.

P Qu, et al. Br J Cancer. 2008 December 9;99(12):2001-2005.
2.
Figure 1

Figure 1. From: Statistical strategies to improve the efficiency of molecular studies of colorectal cancer prognosis.

Lower and upper bounds calculated at 80% power, α=0.05, overall death rate d=0.6, and total sample size N=1000 for comparison with mutation rate estimated from n (nN) patients. The shaded area represents the rejection region. A 95% confidence interval of mutation rate from n patients falling completely within this region suggests that the marker has little variability and likely insufficient power to predict survival, even if all data from N patients were collected.

P Qu, et al. Br J Cancer. 2008 December 9;99(12):2001-2005.

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