FLAG4 posting options are null.
These datasets are generated under the null hypothesis of no linkage or association to observed phenotypes.
These datasets are generated under the null hypothesis of no linkage.
FET examines whether the frequencies in two datasets are different enough to reject the null hypothesis (the exact meanings of null hypothesis for each analysis are described in figure legends).
It is expected that the rate of rejection of the null assumption will be close to 5% (because the former datasets are simulated with a Rasch model).
The datasets are pretty limited.
Thus, applying the peeling procedure yields a new dataset in which marker k is null.
These 5 SNPs, as imputed genotypes, were null in our dataset (data not shown), but this could be due to misclassification from imputation or false-positive associations across both CGEMS and our data.
A number of simulated null datasets were created and subsequently analyzed with DiNAMIC in order to study its behavior under the null hypothesis that no recurrent CNAs are present, and the results of these analyses are presented in Table 1.
To estimate the type I error rate, the null datasets were generated under the same scheme as used for the detection power analysis except that there was no causal pair intended.
