Researchers developed and validated a nomogram to predict 1-, 2-, and 3-year overall survival (OS) in patients with ovarian ...
For example, the Cubist regression model achieved an MAE of 5.31 years, outperforming other models like multivariate adaptive regression splines (MAE = 6.36 years). Further analysis adjusted the ...
Third-year students Samaira Sinha and Rishabh Kumar of the School of Civil Engineering, Shri Mata Vaishno Devi University ...
High heat shock protein 60 (HSP60) expression in patients with ovarian cancer is associated with larger tumors, advanced ...
The heplots package provides functions for visualizing hypothesis tests in multivariate linear models (MANOVA, multivariate multiple regression, MANCOVA, and repeated measures designs). HE plots ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the gradient boosting regression ...
The following is a summary of “A clinical prediction model for safe early discharge of patients with an infection at the ...
The best multivariate model built by stepwise regression contained the covariables disease duration, BASFI, BASDAI, and CRP. Conclusion: A shorter disease duration, younger age, and a lower BASFI are ...
Thus, data-driven multi-observable approaches need to be explored for continental-scale models. In this study, we generate a geothermal heat flow model over Africa using random forest regression ... a ...
Methods Non-missing laboratory data were randomly removed with varying frequencies from two large data sets, and we then compared the ability of four methods—missForest, mean imputation, nearest ...
R package for fitting joint models to time-to-event data and multivariate longitudinal data ...
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