With large datasets, the number of covariates selected in the univariate analyses can be high.
The competing-risks proportional hazards model was first fitted including all the potential confounders selected in the univariate analyses, hyponatremia, ACLF and the interaction of the two main factors (Table 3).
In addition, it is worth briefly mentioning the results of Liang et al. [ 29] and Jeffries and Zheng [ 30] who have also analyzed NARAC dataset for predictive modelling but have used SNPs selected in the prior analyses of the same NARAC dataset.
Additionally, outcomes selected in the meta-analyses were of credible reliability and validity: five from the auricular acupuncture VS sham or placebo method comparison were all continuous variable, measured by PSG, EEG, actigraphic monitoring, PSQI, or Sleep Diary.
In step 2, the variables selected in the four regression analyses in the previous step were integrated into one multiple-linear regression model explaining general health as measured by item 1 of the SF-36.
Because of the excessively large number of input variables available, and the lack of any automated procedure for variable selection, it was decided to reduce the number of inputs to the neural network models by taking principal components of the 20 variables and alternatively by using the variable combinations that had been selected in the corresponding discriminant analyses.
If the option for a 'Wald test for overall P-value for factors with >2 levels' is selected in the dialog of the regression analyses, the overall P-value for the categorical variable will be calculated.
All variables with P<0.05 in univariate analyses were selected in the multivariable model.
The Balance feature was only selected in sensitivity analyses where the training dataset was truncated at the upper age-limit of mutation carriers.
Among the 9 genes, 4 genes (hp0967, jhp0045, jhp0046, and jhp0951) were selected in our analyses because the functions of these genes are known.
