Primary quantitative analysis approaches
deaths
Reflecting the cluster-randomized design of TEACH, the primary analysis of treatment effect on adherence will use assigned treatment as a predictor in a logistic mixed-effects model with each observation of adherence as the outcome [The co-primary ventilator-free days outcome will have a highly skewed distribution, due to a high proportion of deaths, and appreciable proportions of surviving patients with 0 ventilator-free days, or ventilator-free days at or near the maximum possible value of 27. The primary analysis approach for the ventilator-free day outcome is effectively an adjusted rank-based analysis, implementing a proportional odds model including center as a random effect [