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The wrapper analysis was used as the feature selection method, using conditional forward stepwise algorithm based on likelihood rate, as applied in other works [ 16, 28].
A conditional stepwise algorithm based on likelihood rate analysis according to the Cox's proportional hazard model was used to identify the best combination of significant prognosis factors.
As combinations of biomarkers are likely to provide more accurate prognosis information, the most accurate subset of variables was sought using the conditional forward stepwise regression approach based on likelihood rate.
Taking this into account and in order not to introduce bias due to the small sample problem, a wrapper was used as a feature selection method using conditional forward stepwise algorithm based on likelihood rate to reduce the dimensionality of the data [ 30].
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Fixed effects were selected based on likelihood ratio tests on nested models.
c Multi-bits based on likelihood ratio [6].
Scan statistics are based on likelihood ratio tests.
Reported p values are based on likelihood ratio tests.
Subsequently, model simplifications were based on likelihood ratio tests.
Tests of all hypotheses were based on likelihood ratio tests.
We consider an alternative inference method based on likelihood ratio.
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