Results
REGRESSION
Measures of model fitness are presented in Table Measures of model fitnessModel fitness, predictions, and effect estimates for all four models fit to the COVID STEROID 2 trial data [RMSEs were almost identical across models (slightly higher from the cumulative logistic model when predicting -1 for the worst category, corresponding to non-survival); the MAEs were also similar. The differences between predicted and actual mean number of DAWOLS in each group were smallest for the linear, hurdle-negative binomial, and zero–one-inflated beta models and somewhat larger for the cumulative logistic regression model. While the magnitudes of these differences may be of limited importance, estimates in each group were pulled closer in this model. This is likely explained by the proportional odds assumption being somewhat violated (Fig. S1 in Additional file Predicted means in each group, mean differences, and ratios of means are similarly presented in Table Examples of how the raw data may be visualised are presented in Fig. Example visualisations illustrating how visual presentation of days alive without life support or similar outcome data may aid interpretation, using days alive without life support after 28 days from the COVID STEROID 2 trial [