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Furthermore, selecting factors based on p values seemed less likely to give a good model, since clues for the direction of a possible relationship were lacking [15].
On screening step, complete factorial 24 was used and two levels for each selected factor were studied.
The multiple comparison window allows the comparison of all other factor levels to the selected factor.
The differences may most likely be due to the selected factor analysis estimation methods and the small non-representative samples.
The selected factors should be have P value < 0.05.
Pre-cooking and cooking procedures were the selected factors.
Step 9 – Specifying the effects the measure-to-be should have on the selected factors.
In the present study, all the selected factors were examined by SPSS 19.0 test design.
Then we selected factors with p value ≤ 0.1 for inclusion in the multiple logistic model.
The different levels of the five selected factors were shown in Additional file 1: Table S1.
The impact of selected factors in regard to 1 year survival is illustrated in Table 5.
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