The committee discussed the parametric distributions used by the company to model the survival data. The committee understood from the company that it had used the log-normal distribution based on the best fitting approach for the best supportive care comparison because all the data came from ALSYMPCA, for which it had patient-level data and because the survival data were relatively mature. However, it noted that, although the log-normal distribution provided the best fit for the analyses comparing radium‑223 with abiraterone, the company used the Weibull distribution on the basis that it provided a more conservative assumption of survival. The company also explained that, because the abiraterone data were based on hazard ratios derived from published studies and because the indirect comparison used hazard ratios, it considered it more appropriate to use a proportional hazards model. The committee understood that the number of people surviving after 5 years, predicted by the Weibull distribution, was more in line with estimates from the clinical experts, although it also considered the argument for using a log-normal distribution to be valid. It noted that the impact of the choice of parametric distribution resulted in an incremental cost-effectiveness ratio (ICER) in a range of £40,700 per quality-adjusted life year (QALY) gained using the log-normal distribution and up to £67,500 per QALY gained using the Weibull distribution. The committee previously concluded that the company's approach was inconsistent and that both the log-normal and Weibull distributions should be considered in its decision-making. However, the committee noted that, as part of its additional analysis for the no-prior-docetaxel group, the company used the log-normal distribution to model survival for both the trial and extrapolation period, and after 3 years (156 weeks; the trial observation period) the weekly mortality rate was doubled, increasing the base-case ICER from £40,700 to £42,200 per QALY gained. The committee noted that only 1 person was at risk after 3 years, and it considered that doubling the weekly probability of mortality at a time-point when more people were at risk would be more informative. It noted that, when the ERG used a time-point of 2 years (104 weeks) in an exploratory analysis, the ICER increased from £42,200 to £45,400 per QALY gained. The committee concluded that the ERG's approach of doubling the probability of mortality after 2 years was more reasonable than extrapolation at a time-point when virtually no person was at risk. The committee further concluded that, in general, there was uncertainty in the company's approach of modelling overall survival, including the choice of parametric distribution used.