Exact(6)
The median age was 45 years-old in the CRPA group, and 51 in the CSPA group, with no significant difference, using parametric (for mean) or non-parametric (for median) tests.
Intergroup differences were assessed using one-way analysis of variance (parametric, for normalized data) or Kruskal-Wallis test (non-parametric).
We assessed intergroup differences using one-way analysis of variance (parametric, for normalized data) or Kruskal-Wallis test (non-parametric).
Appropriate parametric (for normally distributed data) and non-parametric (deviation from normality in data distribution) approaches will be used to ascertain clinically meaningful group differences at each time point.
Baseline characteristics were compared between groups using chi-square test for discrete variables and, Cochran-Armitage Trend Test, Kruskal Wallis tests (non-parametric) or one-way ANOVA (parametric) for continuous variables, as appropriate.
To test whether the average number of viable grand-offspring (i.e., those surviving to adulthood [~12 weeks]) produced was greater for multiply mated females than for singly mated ones, we used a combination of parametric (for breeding success) and nonparametric (for number of grand-offspring per successful F0 brood) bootstrapping.
Similar(54)
The specifications supported by this framework are procedural 1 and non-parametric (for illustration, see the code examples in the text).
It is non-parametric (or semi-parametric for multi-factor models) and, therefore, robust to the assumption of multivariate normality making it less prone to Type I errors.
Comparison of characteristics between consenter and non-consenters was performed using the χ test for categorical variables, and independent t tests (parametric) or Mann-Whitney U tests (non-parametric) for continuous variables.
Due to the small sample size used in this study it was not realistic to assume a Gaussian distribution and so all statistical tests used were non-parametric: for all correlations Spearman Rank correlation was used; for paired data Wilcoxon Signed Rank test was used.
Confidence intervals in the data are calculated using bootstrapping for data and parametric bootstrapping for models.
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