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We modelled all percentage achievements using a logit transformation (transformed performance = log(Performance/(100-Performance)) to stabilise the variance and improve the validity of the model.
We repeated the analysis using a logit transformation of (r_) and (r_), as well as with beta regression, finding the same results.
The confidence interval for AUPR was computed using a logit transformation approach (Boyd et al., 2013).
Prior to analysis adjusted proportions were calculated using a logit transformation [ 20].
To do so, we estimated the median lethal concentration (LC50) at each exposure duration from the parameters of logistic regressions using a logit transformation.
Data were quantified against a standard curve that was linearized using a logit transformation of B/Bo (bound sample/maximum bound).
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To calculate the PEI, we used a logit transformation (Barendregt et al, 2013).
This model uses a logit transformation and assumes a binomial distribution, similar to logistic regression (Harrell, 2001).
Percentage infection (Pi) scores were transformed using a LOGIT + transformation to obtain near normality [ 42].
We attempted to apply a logit transformation to constrain the pmix between 0 and 1 instead of applying parameter boundaries.
For the analysis of disease data expressed as percentages, a mean value (P%) was calculated for each plot and a logit transformation used (i.e. 0.5ln[(P% + 0.05)/(100.05% − P%)]), a formula that avoids problems arising from P% values of 0 or 100%.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com