Until last week, I was one of these optimists that risk adjustments methods were getting better and better.
The resulting p values were adjusted by the Benjamini Hochberg multi-test adjustment method for a high number of comparisons.
In addition, the weight adjustment method requires many time slots to adjust the weights and schedule real time users.
To adjust for multiple comparisons, we used the adjustment method of Holm, as explained by Aickin and Gensler [ 42].
One tip from those helpful bureaucrats theoretically protecting struggling breadwinners is that an employer could consider "the most cost-effective compensation adjustment method".
However, no scientific adjustment method is currently available.
Also, the dual method can find feasible solutions for cases where the weight adjustment method cannot.
This method is different from the cross-section adjustment method and the bias factor method.
Statistical analysis options of hypergeometric test with multi test adjustment method of Holm were selected.
Moreover, we present the deviation adjustment method based on the support vector regression.
