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This study aimed at evaluating the association of pasta intake with body mass index (BMI) and waist-to-hip ratio, in two large epidemiological datasets.
The comparative assessment of two different epidemiological datasets and the similarities revealed in the studied associations provide reliability and support to the present results.
Reshef's plan was to develop algorithms for analyzing epidemiological datasets, to extract information about the conditions that contribute most to disease outbreaks.
It provides the first comprehensive evaluation of ML estimation of k for highly overdispersed datasets (i.e. those with k<1); it reports the coverage accuracy of CIs derived from those estimates; and it examines potential biases in estimation due to methods and errors of data collection, with application to epidemiological datasets in particular and biological datasets in general.
We first examine the approach by analyzing an outbreak of severe acute respiratory syndrome in Hong Kong (2003) with known unbiased cCFR estimate, and then investigate published epidemiological datasets of novel swine-origin influenza A (H1N1) virus infection in the USA and Canada (2009).
Sharing data is not new; large epidemiological datasets and DNA sequences have been shared in various forms for several decades, even before the internet era.
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Potential coverage was assessed by the examination of the antigen peptide sequences present in the vaccine and epidemiological dataset.
In that study, data from 1,797 subjects with ICH and 1,340 subjects with SAH from a large epidemiological dataset, The Health Improvement Network (THIN), were reviewed and frequency-matched with control subjects for sex, age (±1 year), and calendar year of diagnosis.
However, relying on the reported number of new AIDS cases alone and the absence of a comprehensive epidemiological dataset on HIV cases may limit the interpretation of the current investigation and our understanding of the true picture of the HIV/AIDS epidemic in Brazil.
Secondly, the already existing epidemiological dataset was available.
As a motivating example, we applied the KS test when imputing missing data in the Longitudinal Study of Australian Children, a large-scale epidemiological dataset.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com