Your English writing platform
Discover LudwigExact(1)
We investigated predictors from six domains: socio-demographic, medical history, medication, psychological, sensory, and balance/gait, in a large nationally representative sample from the Longitudinal Aging Study Amsterdam (LASA).
Similar(59)
After excluding any predictors that were not significantly related (p < 0.05) to at least one of the three PIAT scores, we combined the remaining 22 predictors from all four domain-specific models into one regression model for each PIAT score.
Using two composite predictors calculated from three variables, MLR informed by CART was more accurate than the Nomogram computed using eight predictors.
The purpose of this study is to prospectively examine the association between predictors from the three thematic areas — suicidality, personal risk factors and patient care factors — and the occurrence of postdischarge suicide ideation and behavior in recently discharged patients.
Moreover, the Pearson correlation coefficients of the fitted linear predictors from the two models and true effect were also calculated.
Using the best predictors from these two models, we were able to select 10 clinical and 5 genetic attributes to predict DKD.
Investigators who have used this approach have typically taken the patient-specific risk predictors from the two models, and used these as data elements both for estimating the ROC curves and as data for conducting the test comparing ROC areas.
This is presented in table 3. Main predictors were from two categories: methodological and diagnostic.
The final number of risk predictors ranged from five (PROCAM stroke) to 15 in QRISK 2 (table 3).
We investigated 26 predictors at baseline from six domains: socio-demographic, medical history, medication, psychological, sensory, and balance/gait.
MetaDBSite [ 5] predicts DNA-binding residues by integrating the prediction results from six predictors (DISIS, DNABindR, BindN, BindN-rf, DP-Bind and DBS-PRED).
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