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The most widely watched estimates are those of the International Energy Agency, a research organization in Paris funded primarily by the United States and other Western countries.
Less precise estimates are those that are more likely to be biased on selectivity grounds.
The only studies available that compare regression equations based and BEF-based biomass estimates are those by Jalkanen et al. (2005) and Petersson et al. (2012), which, however, did not consider BGB.
The most accurate estimates are those obtained from pet food producers.
The most precise percentile estimates are those at the highest observation densities, which, since many distributions are akin to Gaussian (particularly those of birth dimensions), is often the 50th percentile or median[ 5].
However, if 'true' risk estimates are those for any carrier in the population, even case-ascertained studies may be biased, because the very occurrence of cancer in a carrier suggests that other breast/ovarian cancer risk factors will be over-represented in her relatives, leading to overestimation of risk in carriers (Begg, 2002).
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In addition, the neighbourhoods with high posterior mean SIR estimates were those for which the Bayesian credible intervals suggested that pulmonary TB was a potential problem.
Those estimates are the single biggest determinant of how big the overall settlement may be.
bRisk estimates are for those with the disease relative to those who did not have it.
cRisk estimates are for those exposed to the risk factor relative to those unexposed.
The system can be written as (12).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com