Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
Subsequently, multivariate regression models were built; a logistic model for PFS12wks and Cox models for OS and PFS including all factors with a significant or borderline prognostic value in the univariate analyses.
Similar(59)
For example, for female hypertension patients, we built a logistic regression model on a subset of the data (for Edmonton or Calgary) that included all female hypertension records in each cohort when checking whether 3-day lag daily average PM2.5 level was associated with AMI hospitalisation.
Next we built a logistic regression model to forecast whether or not there will be a CRI event in the future.
We studied patients who underwent extracorporeal shock wave lithotripsy (SWL) to investigate the factors influencing the outcome, and built a logistic regression model to estimate the stone-free rate (SFR) after SWL.
We built a logistic regression model using the same features in Pan et al. (see Methods).
We built a logistic regression model for Chinese Han population in Taiwan based on the data of these 6 alleles and gender, and the area under curve of the receiver operating characteristic (ROC) curve was 0.75 (Figure 2).
We built a logistic regression model to predict cell type (ES vs non-ES) with three variables: antibody fluorescence, cell granularity measured by side scatter values, and the plate in which the clone was located.
A previous study conducted pathway analysis on the same data set [ 23] and built a logistic regression model of 277 genes with a variable selection algorithm.
For children aged 0 4 at the first time of having asthma-like symptoms in the primary care setting, Caudri et al. [ 27] in 2009 built a logistic regression model to predict asthma development at age 7 8.
To better understand the basis for susceptibility to YRV, we built a logistic regression model to identify the properties of genes that are predictive of being in the YRV class.
For children at age two previously hospitalized for bronchiolitis during infancy, Mikalsen et al. [ 93] in 2013 built a logistic regression model to predict asthma diagnosis at age 11.
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