Key Points Box-Cox is a method of transforming non-normal data to fit normal data distributions. It doesn’t work well with ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Survival models using electronic health record data show promise in predicting progression to proliferative diabetic ...

The number of variables in a regression model is often too large and a more parsimonious model may be ... A bootstrap resampling procedure for model building: application to the Cox regression model.

Cox-type regression analysis for large numbers of small groups of correlated failure time observations. In Survival Analysis: State of the Art, Ed. J. P. Klein and P. Goel, pp. 237-48. Boston: Kluwer ...

Adjusted hazard ratios for sudden death in each trial group were calculated with the use of Cox regression models. ... This model was then further adjusted for the confounding variables listed above.

Cox regression was used to study the excess risk of outcomes (death, acute myocardial infarction, stroke, and hospitalization for heart failure) associated with smoking and the number of variables ...