Your English writing platform
Discover LudwigExact(1)
An advantage of the classification tree method is that it allows observations with missing values in a dataset, as opposed to traditional logistic regression analysis, which removes observations with missing predictor values.
Similar(59)
This method removes observation bias and issues of privacy and confidentiality that may occur with direct observation or interviews with patients or healthcare workers.
After removing observations with missing values, we ran our model for 223 informal caregivers.
Since both of these policy changes are likely to have affected human capital accumulation, we perform robustness checks by removing observations from 2000 and later from our analysis and find no substantial impact on our main results.
To reduce the probability of such factors, the sampling process in this study was carried out over two stages: (1) First, I extracted observations of the Mekong delta from the national scale data and removed observations suspected of being outliners, (2) I randomly selected 1000 observations from each year.
Robustness to outliers was tested by removing observations with large Cook distances; only robust results are presented here.
Casewise deletion removed observations with missing data.
Listwise deletion removed observations with any missing data on the SUNS.
The unit of observation was patients and the sample size reduced from 2890 to 2248, after removing observations with missing values.
To evaluate the influence of outlying exposure values on reported associations, we removed observations containing the highest and lowest 5% of pollutant concentrations (10% total).
In addition, to lessen the influence of outliers, we remove observations with the highest 0.5% of outpatient/inpatient out-of-pocket spending.
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