Across a range of sub-Saharan African countries ANC-based estimates have been shown to be on average 28% lower than population-based estimates for women [ 1].
More recently, marker-based estimates have been used to account for population structure in genome-wide association studies (GWAS) [ 1] and to enhance prediction of genetic merit [ 2] in agriculture through 'genomic selection' (GS).
These satellite-based estimates have been applied previously to estimate associations between long-term exposure to air pollution and mortality (Crouse et al. 2012; Villeneuve et al. 2011) and to estimate the global burden of illnesses due to air pollution (Brauer et al. 2012).
Several estimates have been based upon mortality data (11, 13, 18), and all but 2 (21, 21) were based on national (11, 13, 18, 19) or city-level (12, 18) data from England and Wales.
Although the burden of MRSA infection has not been systematically estimated nationally, past estimates have been based on single-center or selected population-based studies in the United States.
Prevalence estimates have been based on several case definitions of chronic fatigue syndrome (CFS).
The bigger problem though was that, until now, modelling estimates have been based on a discredited technique, commonly referred to as "input-output analysis".
The size of the pre-Columbian aboriginal population of North America remains uncertain, since the widely divergent estimates have been based on inadequate data.
However, to date, prevalence estimates have been based on non-representative samples and internationally no studies have compared prevalence of overweight and obesity among nurses to other healthcare professionals using representative data.
