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The Spearman correlation coefficients, the Shapiro Wilk normality test, the parametric Student t-test and the non-parametric Mann–Whitney Wilcoxon test were calculated using the R program [43].
LST temporal evolution is assessed by comparing the average LST composites for 1984 1999 and 2000 2015 where the parametric Student t-test was conducted at 5% significance level to map the pixels where LST for the more recent period is statistically significantly greater than the previous one.
Appropriate parametric (student's t-test) and non-parametric tests (Wilcoxon Rank Sum) were used for assessing continuous variables.
Statistical analyses were performed using parametric (Student t test) and non-parametric (Mann–Whitney U) test.
The parametric student T-test and the non-parametric Mann-Whitney U test were used to compare distributions between groups as appropriate.
Baseline characteristics by incident diabetes status were compared using parametric (Student t) or nonparametric (Wilcoxon rank sum/χ) tests, as appropriate.
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Values obtained at sea level and at high altitude were compared by a parametric Students paired t-tests.
Multiple comparisons tests were performed, where appropriate, using post hoc analyses for parametric (Student-Newman-Keuls test) or nonparametric data (Dunn's method).
Variables will be analysed with the parametric Student-t test or the non-parametric U-test of Mann-Whitney (Wilcoxon ranksumtest) and the Wilcoxon-test for two unpaired samples.
Data consolidated were expressed as mean±sem and p value was calculated using non-parametric student t-test.
Also, the non-parametric Student method was applied to perform a simple comparative analysis.
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