Your English writing platform
Discover LudwigSuggestions(5)
Exact(3)
We first analyzed each variable individually by fitting a univariate Cox PH model.
Prognostic relevance of a gene was determined by fitting a univariate Cox model (Cox 1972) to its expression values.
From the Zhang dataset, 7,374 differentially expressed transcript clusters (TCs) were identified (P adjusted < 0.01) and 225 significantly prognostic genes were identified by fitting a univariate Cox proportional hazards model to the merged Verona and Zhang cohorts (training datasets).
Similar(57)
The second step involved fitting a univariate Cox model using the patients' incidence rates as an independent variable.
We began our analyses of these data by fitting a series of univariate nested half-sib design mixed models to log transformed faecal egg counts and untransformed raw faecal egg counts.
For each country, a univariate linear model was built by fitting a time series of the fraction of Google search query volume for specific dengue-related queries from that country against a 'gold standard' time series of dengue case counts for a time-frame within 2003 2010.
For each country, a univariate linear model was then built by fitting a time series of the fraction of Google search query volume for specific dengue-related queries from that country against a time series of official dengue case counts for a time-frame within 2003-2010.
After univariate analyses, multivariate linear regression analyses were performed by fitting a model with all variables and all two-factor interactions.
We then applied an a priori defined statistical protocol by fitting a multivariate logistic regression model that included all variables that were significantly associated with compulsory drug detention experience at the p ≤ 0.05 level in univariate analyses.
We then applied an a priori-defined statistical protocol that examined factors associated with a history of incarceration by fitting a multivariate logistic regression model that included all variables that were significantly associated with history of incarceration at the p < 0.05 level in univariate analyses.
We then applied an a priori defined statistical protocol that examined the independent effect of syringe borrowing by fitting a multivariate logistic regression model that included all variables that were significantly associated with the dependent variable at the p ≤ 0.05 level in univariate analyses.
More suggestions(2)
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