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This design had a Type I error rate of 5% and a Type II error rate of 10% for the null hypothesis of a 6-month PFS rate of 10% vs the alternative of 27.5%.

The surveyors had a type I error rate of 9.7% (27/278) and a type II error rate of 71.4% (30/42).

Similar to the 10-group setting, the non-DIF condition had a Type I error rate much higher than would normally be expected.

As Table  2 and Figure  1 show; the strategies which had a type 1 error close to the design test size (5%) were the Global strategy and the somewhat conservative Bonferroni strategy.

It should also be noted that the population average model had a type I error rate of 0.053 for the case of no composite heterogeneity, exceeding chance level of 0.05.

Traditionally, phase 2 PoC trials are designed to have a type I error of 10% and a type II error of 20% (the power is 100% minus the type II error, thus 80% power in this case).

In addition, because this study was designed to evaluate the effects of EGFR polymorphisms on the risk of overall lung cancer, the stratification analyses according to age, gender, smoking status and tumor histology might have a type I error (due to multiple comparisons) and/or a type II error (due to the small number of subjects in the subgroups).

While all other tests have correct type I error rates that are close to the target level, SGWWS has a type I error rate lower than the target level (table 1).

Using the metaphor of the geographical map, your Futures Map has a type I error if it includes a path that in practice is not available.

It has a type II error if your Futures Map does not describe a hypothetical path that is available in the futures landscape.

Finally, the Found-in-Both strategy was found to be a conservative analysis having a type 1 error (2.3%-2.7 2.3%-2.7imately half of the designed test size.

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