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These tests were calculated with 1,000 bootstrap replicates.
ML branch lengths of alternative topologies were first inferred assuming a concatenated WAG+F+Γ4 model using Tree-Puzzle [33], site-wise log-likelihood values were then computed with Codeml [37] and p-values of the different likelihood-based tests were calculated with Consel.
First, culture was used as the gold standard reference, and prevalence, sensitivities, specificities, positive and negative predictive values (PPV's and NPV's) for the four serological tests were calculated with exact 95% confidence intervals using the Stata 10.1 statistical software package (Stata Corp., College Station, Tex).
Fisher tests were calculated with the fisher.test function of the R statistical software [ 32].
Sensitivity and specificity for both tests were calculated with respect to clinical outcome.
In the present analyses, these tests were calculated with the alternative software Mplus using the weighted least squares means and variance adjusted estimation method (WLSMV) [ 64].
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Diagnostic accuracy for serum PON1 and other biochemical tests was calculated with receiver operating characteristic (ROC) curve analysis [ 20, 21].
Effect sizes for paired t-tests were calculated with Dunlap et al.'s formula for Cohen's d [ 36].
The F-tests were calculated with the James-Stein shrinkage estimate using information from neighboring probes [ 43].
The F-tests were calculated with the James-Stein shrinkage estimate (Fs), incorporating shrinkage estimates of variance components [ 47].
Effect size (partial-eta squared) and power values for ANOVAs were calculated in SPSS, and Cohen's d and power for t-tests were calculated with G*Power (Version 3.0.8).
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