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(see Figure 1 for an example of how different formats of risk can be calculated) Studies of self reported practice demonstrate that interpretation by physicians of numeric data may vary depending on the format or the "frame" in which they are presented [ 1].
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We then calculated study-specific and pooled odds ratios (OR) and 95% confidence intervals (CI) assuming allele and genotype models.
We calculated study-level effect sizes as standardised mean differences (SMDs) between comparison groups, measured as quantities selected or consumed.
We calculated study power for the primary clinical outcome (dental plaque index), and recruitment met this target [ 13].
QALY loss associated with uncomplicated ILI were calculated study by O'Brien et al. (20 ) assuming a normal health score of 0.85 (Table).
The number of patients enrolled was used to calculate study and patient demographics.
Where possible, numerator and denominator data were used to calculate study-specific estimates and standard errors.
We will calculate study recruitment rates for each hospital and Health Board.
We used the generic inverse variance method to calculate study specific weights.
To calculate study power based on the number of paired participants, we used SP software (version 3.0.43) [ 31].
Microsoft Office Excel 2007 was used to calculate study level proportions, logit event estimates, standard errors and to back-transform logit event estimates to proportions.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com