But if the extent of under-estimation is similar in the two diets, the relative difference between the two may still be estimated adequately.
As with all evaluations that use patient assessments of their health status and resource use at specified time points, we do not know the extent of over/under-estimation.
Therefore, the validation of models with independent data sets is useful to check whether the proposed models serve as surrogates for PE concentrations and to know the extent of the exposure estimation error, which should be accounted for in epidemiologic studies and risk assessments (Liu et al. 2007).
Although registration completeness is high [ 28], a small proportion of cases is missed by the Registry, meaning that these figures slightly under-estimate true 17-year prevalence; the extent of this under-estimation is likely to vary by site.
If so, this would suggest that we may have over-estimated the health gains associated with screening programmes based on FIT and gFOBT, although the extent of this over-estimation is difficult to quantify from currently available evidence.
This technique allows, to some extent, the estimation of absorbed radiation dose from past exposures.
A natural question to ask at this point is "What is the extent of error in the estimation of the parameters c and d in these formulas, and in particular, in the formula (1.1)." We first attempted to determine confidence intervals for the parameters c and d.
These preliminary, illustrative results prompted us to extend this analysis in our specific set of conditions to obtain a better idea of the frequency and extent of under- or over-estimation of normalized expression value of GOIs by using different reference genes.
For each country cost estimates are provided for implementing REDD MRV systems, the major drivers of costs being forest extent, stratification, and the appropriate choice of estimation method (Tier).
With the bibliometric data of the applicants subsequent to application we were able to calculate the extent of over- and under-estimation (type 1 and type II errors) of the future success of the applicants.
