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The findings obtained from analysis were evaluated with SPSS statistical software.
Analyses of dendritic length and Sholl analysis were evaluated with Neurolucida Explorer (MBF Bioscience).
Factors possibly associated with seropositivity in humans and livestock (explanatory variables with P ≤ 0.2 in univariable analysis) were evaluated with multivariate logistic regression models (with RE at the nomadic camp level) using backward stepwise selection and a removal level for covariates at P = 0.10 based on the likelihood-ratio test (LRT).
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The gyrB-DGGE analysis was evaluated with Aeromonas isolates and reference strains allowing discrimination of the majority of strains.
The convergence of the Bayesian analysis was evaluated with TRACER and the sample of trees was summarized into a single topology using TreeAnnotator software (Department of Zoology, Oxford University [http://evolve.zoo.ox.ac.uk/software/]).ac.uk/software/]
Where indicated, statistical analysis was evaluated with unpaired Student's t-tests.
The role of each variable (univariate analysis) or their joint effect (multivariate analysis) was evaluated with Cox's proportional hazard regression.
Stationarity of the Bayesian analysis was evaluated with the methodologies and statistics implemented in Tracer [ 118] and AWTY [ 119, 120] and with the standard deviation of the split frequencies.
RNA samples were also tested for their quality using the RNA 6000 LabChip kit (Agilent Technologies) following the manufacturer's instructions, and RNA analysis was evaluated with the 2100 Bioanalyzer (Agilent Technologies).
The performance of discriminant analysis was evaluated with different combinations of regional DVR estimates as predictor variables and the chi-squared (χ 2 ) test was used to examine the overall accuracy in classification and prediction of group membership using the discriminant functions [ 23].
Parameters displaying significant changes in univariate analysis were evaluated for correlations with Pearson's test.
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