Your English writing platform
Discover LudwigExact(7)
Factors associated with ICU mortality were determined by univariable and multivariable backward logistic regression analyses.
Although this value seems relatively high, it is favorable for backward logistic regression analyses [ 10].
Stepwise backward logistic regression analyses were performed with dichotomised FSS score at contact 2 as dependent variable.
Manual backward logistic regression analyses with a one-by-one stepwise removal of the least significant variable were performed with "bowel function" (normal/altered) as dependent variable.
Automatic backward logistic regression analyses were used at various levels of this nested procedure, according to four methods: automatic backward selection was applied to on 100 imputed datasets.
Multivariable backward logistic regression analyses were conducted to determine which patient factors were independently associated with no recognition of ADEs present upon admission and which factors led to no recognition of ADEs occurring during hospitalization.
Similar(53)
Backward multivariable logistic regression analyses were then conducted to identify factors associated with actual pandemic preparedness.
Backward stepwise logistic regression analyses were performed, including all variables for retest rate, and for positivity variables with a p-value for the likelihood ratio test of < 0.2.
Multiple forward and backward stepwise logistic regression analyses were then performed to identify independent predictors of SNB positivity, RFS and OS.
Univariate and stepwise backward multivariate logistic regression analyses were performed to examine associations between preoperative pH parameters and normalization of EAE.
Stepwise backward multiple logistic regression analyses were performed with readmission within 30 days or 180 days as the dependent variable and sociodemographic factors (age, race, sex, marital status, and income), HbA1c, LOS, type of insurance, initial ICU status, year of admission, diabetes education consult, and physician consult as independent variables.
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