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Because it also strongly influences LD patterns [ 2], an accurate estimate and understanding of population structure is critically important for association mapping.
Analyses will also include calculations of the proportion of participants who are continuously abstinent, and abstinent as assessed for 7-day point-prevalence for both treatment groups in order to provide a fuller estimate and understanding of the possible range of the treatment effects.
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The synoptic scale of atmospheric pressure distribution is found to be important for estimating and understanding the future changes in sea level rise, U10 and Hs.
Thus, estimating and understanding survival rates are central for understanding the causes of population declines.
Technology adoption studies are mainly focused on estimating adoption rates and understanding the relationship between technology adoption, its intensity and relevant socioeconomic, and policy variables.
The underlying tenet of our work is that neither of these trends will become fully mature without: (1) An understanding for how and why system entities are connected together, and (2) Formal procedures for assessing the correctness of system operations, estimating system performance, and understanding trade spaces involving competing design criteria.
Evaluating control strategies requires accurately estimating population burden and understanding the relationship between national statistics and disease incidence.
They are only our thumbnail estimates based upon our contacts in the field, tracking of Arbitron estimates and understanding of the business.
Estimates of premature mortality and understanding the factors affecting premature mortality are essential for reducing preventable deaths and improving population health.
Estimating regional carbon (C) stocks and understanding their dynamics is crucial, both from the perspective of sustainable landscape management and global change feedback.
At the same time, periodic sero-behavioral surveys, such as the ZDHS, that provide HIV prevalence data for representative samples of adults in the general population, can be helpful in validating ANC-based HIV estimates and in understanding the biases in ANC data.
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