Sentence examples for test for incidence from inspiring English sources

The p-value was calculated by Fisher's exact test for incidence data.

Statistics was calculated with Chi squared test for incidence and Mann-Whitney U test for onset, severity and AUC.

We estimated the effect of exposure variables on the rate of falling using the test for incidence rate ratio assuming a Poisson distribution and used Poisson regression for exploratory multivariate analysis with correction for overdispersion.

Statistical analysis will be performed using the t-test to compare the change in maximum IMT, the log-rank test for incidence of events and mortality rate, and the Kaplan-Meier method to plot survival curves.

The likelihood ratio test for incidence rates in all countries indicated that both the AP model and the AC models were sufficient in explaining the variation in the full APC model for Singapore (P-value = 0.999 (AP vs APC), 0.925 (AC vs APC)), Sweden (P-value = 0.999, 0.975) and Geneva (P-value = 0.800, 0.959) (Table 2).

Statistical differences between experimental and control groups were analyzed using the Mann–Whitney U test for the severity of arthritis, the χ2 test for incidence of arthritis, and Student's t-test for day of disease onset, antibody levels, and T-cell responses.

Comparisons between WT and KO mice were made using ANOVA followed by Tukey's post-hoc test for incidences of pathologies including tumors, GST activities, tumor weights, and western blots.

Correlations were done by the Spearman Test in Candelária (sectors A and B malaria incidence) and Mann-Whitney test for Teotônio (incidence in residents and non residents).

We also use data from an experiment designed to test for the incidence of patterns of small-stakes risk aversion used in concavity calibration.

Statistical differences were evaluated through the GraphPad software 5.0 (GraphPad Inc. San Diego, CA) by using Mantel-Cox log-rank test for the incidence of autochthonous tumors in transgenic mice; Yates's χ test for the regression of transplantable tumors.

We have presented a trend test for tumor incidence data that takes advantage of the strengths of the CA trend test when the dose response relationship is linear and also takes advantage of strengths of nonparametric order-restricted methods when the dose response relationship is monotonic but nonlinear.