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These data were collated with survival data obtained from prospective follow-up.
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Data were collated from patients with a diagnosis of COPD consistent with the Global Initiative for Chronic Obstructive Lung Disease GOLDD) criteria [ 24] who had previously participated in two clinical studies at the Royal Brompton, King's College or St Thomas Hospitalss (London, UK).
Data were collated and analysed with IBM SPSS Statistics 20.
In all cases the data was collated within Excel spreadsheets.
Data were collated and analyzed centrally, with duplicates eliminated according to CLSI guidelines (9 ).
Data were collated for the nine genes with the most complete mutation coincidence data (not necessarily the most commonly mutated genes in NSCLC).
Data were collated for the period 1989 1999, with 5 locations selected for each region to provide overall coverage of the region (except London, which had only 2 centers with data available for the given time period).
Estimates of burn severity from field data were collated into a simple burn index and correlated with a selected suite of common spectral vegetation indices.
Test data were collated and the preliminary results were provided to each software vendor, with a request for feedback.
These data were collated and compared between 2013 and 2014, identifying any interval improvement, and with the national prospective data outlined in the NCEPOD report.
Data were collated into a MySQL (MySQL AB, Stockholm) database that was accessed directly with R (R Development Core Team, Vienna) for statistical analysis.
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CEO of Professional Science Editing for Scientists @ prosciediting.com