Your English writing platform
Discover LudwigSuggestions(5)
Exact(8)
In our paper we did not state the contrary, we only stated that we analyzed this variable in another way - using the standardized mean difference, which is a methodology different from meta-regression to analyze the reduction in norepinephrine requirements [ 1].
12 For each trial, we calculated the standardised mean difference, which is the difference between the means divided by the pooled standard deviation.
The effect estimate relating to a variable with a continuous outcome will be presented as a mean difference, which will be calculated using a linear regression model.
For continuous variables, the standardized mean difference, which consists of the difference in means divided by the standard deviation, was used.
Published results were first converted into a common effect size measure: the standardized mean difference which is defined as the mean difference divided by the corresponding standard deviation [ 18].
For example, researchers can calculate a standardized mean difference, which expresses the difference between groups in units of SD, using Cohen's d statistic or a variant called Hedges' g.
Similar(52)
If this is the case, the normalized data based on different regression coefficients will still have potential mean differences, which needs to be adjusted before combining the datasets.
There were 355 individual estimates of group mean differences which could be standardised by the scale score.
In a conservative approach, the random-effect estimates of mean differences, which allow for variation of true effects across studies, were taken as 'main results'.
Adjusting for sociodemographic characteristics, child global health and SHCN attenuated the estimated mean differences, which nonetheless remained statistically strong for medical service (MBS) costs for children.
ΔTLM is the log mean temperature difference which is given by [12, 21] Δ T LM = T r - T a ln T r - T wb / T a - T wb.
Write better and faster with AI suggestions while staying true to your unique style.
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