The manufacturer provided additional analyses examining alternative probability distributions, with consideration given to model fit to the early trial data and the shape of the curves at the tail of the distribution. The manufacturer examined five distributions – Weibull, log-normal, log-logistic, Gompertz and exponential. The models were fitted to data from IPASS (taken predominantly from EGFR-TK mutation-positive patients) in three ways: to each treatment arm separately (stratified); to the whole population using a stratified model but in the absence of other covariates; and to the whole population using an unstratified model (which assumed proportional hazards between treatments for distributions with this property, that is, the Weibull, Gompertz and exponential models). The manufacturer evaluated the model fit using the Akaike Information Criterion (AIC) and Cox–Snell residuals. The manufacturer's analyses showed that for progression-free survival and overall survival the Weibull models consistently provided the best fit according to AIC, although the log-logistic distribution also provided a good fit to the overall survival data. The manufacturer provided evidence that the proportional hazards assumption was satisfied (that is, there was a constant ratio of the hazards between the two treatments across all points in time) and stated the 'spline' model proposed by the ERG was therefore not appropriate. The manufacturer provided, as academic in confidence, unpublished observational evidence on long-term survival of patients with NSCLC from the NEJGSG study, and published evidence, which showed that for overall survival the data supported the choice of the Weibull or log-logistic distributions.