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Despite the obvious need for more objectively measured population data, very little risk factor data in the form of biomedical measurements are available for comparative studies among remote, regional and urban areas.
Unfortunately, reliable (measured) population data, especially for biomedical health risk factors, are over 10 years old and limited in respect to regional data.
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Technologies that provide expression measurements in single cells are ubiquitous, but the measured population variability data are seldom meaningfully exploited.
Directly measured population-based data on maternal weight at delivery for the U.S. population are not available.
The smartpca program from the EIGENSOFT 4.2 package was used to compute principal components on the genotypic data to measure population stratification [ 32].
However, the register data do not measure population disease prevalence.
We linked the hospitalization data to data from other national sources to measure population and market characteristics.
The most reliable data currently available to measure population migration come from the UK census.
Quintiles of the income domain were used to measure socioeconomic deprivation, creating population data stratified by age group, sex, ethnic group and five socioeconomic deprivation groups.
As a result, the dataset could be used as a foundation to build a richer record of urban population values through history, creating systematic, global population data to measure urban growth at a long timescale.
Within-subject contrasts for the interaction between day (D) and infection (I) for the repeated measures ANOVA on Daphnia population data presented in Table 1.
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