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To expand our predictive models for progression to advanced stages of age-related macular degeneration (AMD) based on demographic, environmental, genetic, and ocular factors, using longer follow-up, time varying analyses, calculation of absolute risks, adjustment for competing risks, and detailed baseline AMD and drusen status.
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Proposed model for progression to type 1 diabetes in genetically susceptible people.
An AFP surge was retained in the final model for progression.
According to Cox proportional hazards model for progression free survival constructed identically to above-mentioned model, there were no statistically significant differences of progression free survival between the same four patients groups, the overall p = 0.35.
This was also demonstrated by the fact that the curvilinear model for progression of percentage predicted FVC did not show a better fit to the data than the linear model.
We have tested the effects of the variations in the data and of the assumptions made in the model for progression after the end of the clinical trial by performing sensitivity analyses that use different assumptions and utility weights.
A better understanding of neurofibromas and MPNSTs has the potential to greatly improve the lives of NF1 patients, as well as serving as a general model for progression to be tested in other more common cancers.
Other missing data will also need to be addressed, likely using NHANES data as has been implemented in clinical applications of a risk model for progression of age-related macular degeneration using demographic, genetic, environmental, and ocular factors [ 26].
Using the Tangri risk calculator (a predictive model for progression of chronic kidney disease to renal failure) the risk of entering end-stage renal failure (ERRF) was calculated in the cohort [ 15].
The presented work provides a template analysis and visualization model for progression-based or temporal-based analysis of player behavior broadly applicable to digital games.
Multivariable statistical methods included a multiple logistic regression model for response, and Cox proportional hazards model for progression-free survival.
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