For each jurisdiction, five scenarios used different assumptions of future diagnosis prevalence, treatment prevalence, rates of adoption and unit costs of novel drugs, and treatment intensity.
However, different assumptions of future survival trends only had a small impact on the predicted prevalence (data not shown) because survival has less room for further improvement (five-year relative survival being over 90%).
These discrepancies primarily result from different assumptions on future yields of food and energy crops, feed conversion efficiencies in the livestock system as well as the suitability and availability of land for bio-energy production.
Differences between the results of these studies are mainly due to different assumptions on future crop production and on the recoverable fraction and other factors.
Individual scenarios for optimised regional biomass utilisation are illustrated, based on different assumptions for future biomass price developments as well as aspects of climate change.
For these reasons, a range of estimates of future cancer prevalence were made, based on different assumptions regarding future incidence rates and survival.
The individual variations reflect different assumptions on the future development of fertility, life expectancy and immigration.
Different assumptions regarding likely future incidence rates, survival and demographics can, therefore, independently influence projections of cancer prevalence, and it is of interest to explore different future scenarios when projecting cancer prevalence.
Used properly, dynamic scoring produces several estimates, each based on different assumptions about the future.
These documents, submitted to UNFCCC in 2011, were based on different assumptions on the future (after 2009) harvest rates.
