Your English writing platform
Discover LudwigSuggestions(5)
Exact(60)
The baseline characteristics will be shown as the mean ± SD for continuous data (i.e., participant's age and duration of back pain), and n for categorical data (i.e., gender).
A propensity score that is the estimated probability that a patient would have received DAA given their key baseline characteristics will be calculated.
As we continue to accrue longitudinal data on this cohort, we anticipate that these baseline characteristics will be expanded on, and specific results on anaemia during acute infection have been published [25].
Baseline characteristics will be compared between groups.
Patient baseline characteristics will be summarized.
Baseline characteristics will be described using questionnaires and register data.
Baseline characteristics will be summarised for each treatment groups.
Quantitative baseline characteristics will be compared using Student t test.
Baseline characteristics will be analysed by descriptive statistics.
Descriptive analyses of baseline characteristics will be performed.
Baseline characteristics will be presented with descriptive statistics.
More suggestions(15)
baseline examinations will be
baseline scores will be
baseline interviews will be
baseline parameters will be
baseline characteristics will include
baseline menus will be
baseline data will be
baseline assessments will be
baseline measurements will be
baseline questionnaires will be
baseline covariates will be
baseline measures will be
baseline values will be
baseline participants will be
baseline variables will be
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