Both used large-scale regression designs with the same visual objects, and mixed-effects models incorporating participant, session, stimulus-related and feature statistic variables to model the performance.
Homogeneous regions are easy to define by selecting of one or more statistic variables, than by grouping their values into classes, and finally by mapping the borders of the classes.
Third, we will describe how to calculate the statistic for variable importance estimation.
Differences in baseline characteristics by APOE genotypes were tested using the chi-squared statistic (categorical variables) or ANOVA (continuous variables).
Agreement was estimated using the Cohen's kappa statistic (categorical variables) and the intraclass correlation coefficient (quantitative variables) using the Statistical Package for the Social Sciences SPSSS for Windows, version 18.0; SPSS Inc, Chicago, IL, USA) software.
P-values were determined based on Fisher's exact test (for binary variables), Pearson Chi Square statistic (for categorical variables) and a two-sample t test (for continuous variables).
We compared the demographics of participants in the rural FG to those who had participated in the urban FG (cross tabulations, chi-square and Fisher's exact test for association for categoric variables, Kruskal Wallis statistic for continuous variables; two-tailed alpha = 0.05).
P-values were calculated using one-way ANOVA for continuous variables and using χ2 statistic for categorical variables.
The intraclass correlation coefficient was used as an estimate of the test retest reliability for continuous variables, and the κ statistic for dichotomous variables.
We compared baseline characteristics between case and control subjects using the two-sided t test for continuous variables and the χ statistic for categorical variables.
