Distributional assumptions
REGRESSION
Modelling and distributional assumptions will be checked prior to reporting. Specifically, time-to-event models will be tested for the proportional hazard assumption, and logistic regression models will be assessed for overdispersion.If distributional assumptions are not met, transformations will be attempted. If it is not possible to meet distributional assumptions via transformation, model choice may vary from what is described below. For example, a time interaction term may be added to Cox regression if the proportional hazard assumption is not met. Any changes will be fully documented.