Analytical strategy
respiratory failure
REGRESSION, RESPIRATORY FAILURE, REGRESSIONS
We assessed HTE on the continuous scale for age, weight and predicted mortality risk using generalised additive models (linear/logistic regressions, respectively, for the two outcomes) with cubic regression splines, fixed degrees of freedom and five knots at the 5, 27.5, 50, 77.5 and 95 percentiles.HTE according to the category of respiratory failure and the number of comorbidities was assessed by conventional linear/logistic regression models, including treatment, the baseline variable of interest (as a categorical variable) and an interaction term; likelihood ratio tests were used to assess interactions similarly as for the generalised additive models. Of note, this was not specified in the statistical analysis plan,Results are presented graphically using predicted mean outcome values with 95% confidence intervals (CIs) in each treatment group according to values of the baseline variable in question, supplemented with plots illustrating the absolute differences between groups with 95% CIs.The 