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Using ArcGIS (v9.3, ESRI, Redlands, CA, USA), individual maps of parasite rates and rates of uptake of control measures were generated using inverse-distance weighting to smooth surfaces across unmeasured locations between survey clusters.
Network maps and component and density measures were generated using the program Ucinet [ 16].
Data were normalised and probe intensity measures were generated using the Robust Microarray Analysis algorithm (Irizarry et al, 2003).
Adjusted rate ratios (incidence rate ratio (IRR) and 95% CI) between the burn injury and no injury cohorts and the outcome measures were generated using negative binomial regression.
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For each individual measure (e.g. smoking, income, etc)., and for the combined factors, a cumulative measure was generated using data from both waves of survey data such that each mediator could take a value of 0, 1 or 2, with higher scores representing more negative material, psychological or behavioral exposures.
In some trials where heights were not measured, they were generated using Forecaster height-diameter models initialised with information on Site Index for the trial site.
Bootstrap standard errors (SE) for the difference of Phi measures between groups were generated using 50 bootstrap replications; between 50 and 200 replications are generally adequate for estimates of bootstrap standard error [ 41, 42].
Measures of medical comorbidity were generated using AHRQ's Clinical Classifications Software [ 39]. a Results are nationally weighted and account for stratified sampling.
Self-report data were generated using measures of perceived realism, predictability and flow administered immediately after game play.
Person measures (θ i ) for 500 simulees were generated using an N 0, 1) standard normal distribution.
Linkage disequilibrium was measured as D' [16] and plots were generated using Haploview available from the HapMap Project Site (http://www.hapmap.org/).hapmap.org/
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CEO of Professional Science Editing for Scientists @ prosciediting.com