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It is hard to evaluate the performance of a defensive secondary using conventional statistics.
The resulting data were analyzed both using conventional statistics and the multiple imputation technique as shown in brackets.
The relative frequencies of the adverse effects were compared in the placebo and the corticosteroid group(s) using conventional statistics and meta-analysis.
We therefore perform an unweighted analysis of published fitness costs using conventional statistics such as anova, t-tests, Pearson's correlations, etc. Reviews of meta-analysis suggest this approach when published data are missing information required for formal meta-analysis (Gurevitch and Hedges 1999; Gurevitch et al. 2001).
Using conventional statistics for sample size estimates, 12 participants in each group (n=24 in total) would be required to make clinically decisive inferences on differences in total haemoglobin mass assuming a typical error of 2%, a reference threshold of 3% and types I and II errors of 5%and20%0%, respectively.
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However, none of the OR had a p value less than 0.05, indicating statistical insignificance of these associations using conventional sampling statistics.
Demographic information was described using conventional descriptive statistics.
Key variables were described using conventional descriptive statistics.
Continuous and categorical variables were summarized using conventional descriptive statistics.
Baseline characteristics were summarised using conventional summary statistics.
Baseline disease and treatment characteristics were compared using conventional descriptive statistics.
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