In order to test our modelling assumptions regarding age and to determine whether it was appropriate to combine data for planned births in non-OU settings, we plotted outcomes by age and PPOB using polynomial smoothing.
COVER data was only used to check that our assumptions regarding age-dependent attendance and bad experiences led to plausible estimates of uptake at 1 year, 2 years and 5 years.
We evaluated the influence of model assumptions regarding age trends in lipid content and liver metabolic capacity assuming the partitioning properties of PCB-153 and the 50-year emission scenario.
In a further analysis to avoid linear assumptions regarding age and based on differences in age between asthmatics and nonasthmatics (table 1), the association of asthma with severe outcomes was adjusted for age <5 years (adjusted OR 0.50, 95% CI 0.35 0.71) and age 16 45 years (adjusted OR 0.52, 95% CI 0.36 0.74).
In addition, randomly-assigned assumptions regarding retirement age, investment returns, and hypothetical contribution amounts were used to generate the projections and were found to have significant impacts on saving behavior.
These variations arise because of differing assumptions regarding relative age-specific attack rates [ 8], social mixing patterns prior to [ 9] and during [ 5] the period of school closure and the timing and extent of interventions [ 10, 11].
Not only is the total population exposed to O3 in a future year important, but assumptions regarding the age distribution of that population are also important for estimating O3-related adverse health effects.
Simulation results are presented for assumptions regarding pre-existing forest age and the stand age at which landowners harvest timber with a goal of understanding the influence of these factors on future trajectories of land cover change.
Firstly, common assumptions regarding the REP and age structure of the workforce have been used.
The expectations of Z g, s (t) and Z t) admit the general form Furthermore, these expressions remain valid when the independence assumptions regarding the evolution of age-dependent branching processes are relaxed.
Conclusions regarding age-equivalent ΔCBF and age-differential ΔCMRO2 rest on assumptions of linearity between ΔCBF and ΔCMRO2 and age-equivalent baselines.
