§Result of Pearson Chi-squared Test for binary predictors, result of Cochran-Armitage test of trend for variables with more than two levels.
The most powerful test of trend dynamics is one involving direct comparisons of large numbers of ancestor descendant pairs (Fig. 10; McShea 1993; Alroy 2000; Wang 2005).
Continuous variables were compared with the use of the Wilcoxon rank-sum test; categoric variables were compared with the use of the χ2 test, Fisher exact test, or the Mantel-Haenzel test of trend.
Interactions between different polymorphisms were tested using logistic regression in R using the number of minor alleles as predictor variable, therefore implementing an Armitage test of trend.
Interactions between different polymorphisms were tested using logistic regression in R testing using the number of minor alleles as predictor variable thus implementing an Armitage test of trend.
All the analyses were carried out with SPSS software version 11.0, except for Logrank test and Logrank test of trend to compare survival curves, which were performed using Prism 4 software.
†Nonparametric test of trend.
P-value for test of trend.
Chi-square test was used as the test of trend.
Of the cohort studies, only four studies did not report a test of trend.
