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In our study, exact exclusion and inclusion criteria were carefully planned in order to exclude factors that may affect the results of our study.
With regard to other secondary headaches, we performed "red flags", such as "headache occurred in patients aged more than 50 years old", "headache which is the most painful ever experienced", "headache with positive neurologic signs", "sudden onset headache", to exclude factors such as tumor, stroke, and infection prior to the diagnosis of primary headaches.
A stepwise backward algorithm was used at a level of 5% significance to exclude factors.
A stepwise backward algorithm was used to exclude factors without significant prognostic value.
A moderate backward selection was applied in order to exclude factors that were not relevant.
To exclude factors with potential effects on the observed negative correlation, we tested the effect of 3'UTR length.
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Such attempts cut across the natural processes of social development, initiating uncontrollable forces or provoking a dialectical reaction of excluded factors.
In our case, we excluded factors that could trigger migraine attacks, such as changes in weather, drugs, alcohol, caffeine withdrawal, stress, fatigue, lack of sleep, hormonal therapy, diet, and hunger.
(Recall that our analysis excluded factors observed in only a minority of the participants' data).
The excluded factors had very low Cronbach's α's (below 0.38).
We selected the best model by subsequently excluding factors with p > 0.2 in the likelihood-ratio test from the full model, until no more factors could be excluded.
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