Under this model, extreme quantitative traits are simulated based on given percentile upper (\(p\)) and lower (\(q\)) bounds. There are two approaches to generate extreme QT values:
In SEQPower no specific statistical methods for analyzing extreme quantitative traits are implemented. To analyze data from this model, one can use methods for regular QT analysis with permutation testing to obtain p-value estimate, or implement via ''RTest'' interface some more sophisticated analysis methods.
spower ELNR -h
Model specific options are similar to options in ''LNR'' model. General simulation and analysis options are otherwise documented. The infinite sample pool method is triggered by
--p1 option. If
--p1 is not specified, the finite sample pool method will be used.
This option takes two values, the lower and upper QT percentile cutoff which defines case control status. QT values under the lower cutoff are considered controls; QT values higher than the upper cutoff are considered cases.