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Analyses have been carried out on a total of 302 previously published tests using a nonparametric regression procedure known as multivariate adaptive regression splines (MARS), to assess the capacity energy required to trigger liquefaction in sand and silty sands.
The relations between in vivo and in vitro results were studied using a nonparametric regression test, and Spearman's ρ correlation coefficient was calculated.
Before conducting analyses of fat intakes as continuous variables, we evaluated the relation of fat intake to ovarian cancer using a nonparametric regression curve that used a restricted cubic spline.
Closer inspection, using a nonparametric regression model (GAM), revealed that (1) residuals increased from 1977 to the mid 1980s in Danish coastal areas and the Wadden Sea, (2) residuals declined between the mid 1980s and the early 1990s in all regions investigated, and (3) residuals increased during the past decade in all four regions (GAM models in Figure 5).
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We used a nonparametric regression [locally weighted scatterplot smoothing (LOWESS) regression] for smoothing, with a 60-min bounding radius, which tends to eliminate perturbations sustained for < 10 min but maintain patterns lasting more than 30 min (Cleveland et al. 1992).
Receiver operating characteristic curves were constructed by plotting sensitivity versus 1 − specificity obtained using multivariate logistic regression, and AUCs were compared using a nonparametric test (12).
Data were analyzed using a nonparametric test.
It was designed by using a nonparametric Bayesian approach.
Means were compared using a nonparametric test.
Means were compared using a nonparametric Tukey-Kramer HSD test.
Correlation analyses were performed using a nonparametric Spearman's test.
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