Author: Helen Y. Chu; Michael Boeckh; Janet A. Englund; Michael Famulare; Barry R. Lutz; Deborah A Nickerson; Mark J. Rieder; Lea M Starita; Amanda Adler; Elisabeth Brandstetter; Chris D. Frazar; Peter D. Han; Reena K. Gularti; James Hadfield; Michael L. Jackson; Anahita Kiavand; Louise E. Kimball; Kirsten Lacombe; Jennifer Logue; Victoria Lyon; Kira L. Newman; Thomas R. Sibley; Monica L. Zigman Suschsland; Caitlin Wolf; Jay Shendure; Trevor Bedford
Title: The Seattle Flu Study: a multi-arm community-based prospective study protocol for assessing influenza prevalence, transmission, and genomic epidemiology Document date: 2020_3_6
ID: 4nmc356g_58
Snippet: Statistical methods Prevalence of respiratory pathogens are analyzed as the number of cases detected out of the total number of episodes with testing. For influenza-specific analyses, prevalence is defined as the number of cases of influenza out of the total number of episodes with testing. Risk ratios and associated 95% confidence intervals are estimated for the cross-sectional study arms using Poisson or negative binomial regression. Similarly,.....
Document: Statistical methods Prevalence of respiratory pathogens are analyzed as the number of cases detected out of the total number of episodes with testing. For influenza-specific analyses, prevalence is defined as the number of cases of influenza out of the total number of episodes with testing. Risk ratios and associated 95% confidence intervals are estimated for the cross-sectional study arms using Poisson or negative binomial regression. Similarly, risk ratios and associated 95% confidence intervals are estimated for the prospective clinical and childcare cohorts. For questionnaire data, descriptive statistics are calculated and association with respiratory pathogen prevalence analyzed using parametric and nonparametric tests, as appropriate given the distributions. Geospatial incidence maps are estimated using generalized additive mixed models with spatial, All rights reserved. No reuse allowed without permission.
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