Výsledky vyhledávání - "Ben G Armstrong"

Akademický článek

Sample size issues in time series regressions of counts on environmental exposures

Autor: Ben G. Armstrong, Antonio Gasparrini, Aurelio Tobias, Francesco Sera

Publikováno v: BMC Medical Research Methodology, Vol 20, Iss 1, Pp 1-9 (2020)

Abstract Background Regression analyses of time series of disease counts on environmental determinants are a prominent component of environmental epidemiology. For planning such studies, it can be useful to predict the precision of estimated coeffici

Externí odkaz: https://doaj.org/article/5010bb374f354b388fb304a1f8cf7552

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Akademický článek

Effectiveness of inactivated influenza vaccines in preventing influenza-associated deaths and hospitalizations among Ontario residents aged ≥ 65 years: estimates with generalized linear models accounting for healthy vaccinee effects.

Autor: Benjamin J Ridenhour, Michael A Campitelli, Jeffrey C Kwong, Laura C Rosella, Ben G Armstrong, Punam Mangtani, Andrew J Calzavara, David K Shay

Publikováno v: PLoS ONE, Vol 8, Iss 10, p e76318 (2013)

BACKGROUND: Estimates of the effectiveness of influenza vaccines in older adults may be biased because of difficulties identifying and adjusting for confounders of the vaccine-outcome association. We estimated vaccine effectiveness for prevention of

Externí odkaz: https://doaj.org/article/bbf63f88609e49abb1c067d9313a57cf

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Myocardial infarction, ST-elevation and non-ST-elevation myocardial infarction and modelled daily pollution concentrations: a case-crossover analysis of MINAP data

Autor: Barbara K, Butland, Richard W, Atkinson, Ai, Milojevic, Mathew R, Heal, Ruth M, Doherty, Ben G, Armstrong, Ian A, MacKenzie, Massimo, Vieno, Chun, Lin, Paul, Wilkinson

Publikováno v: Open Heart

Objectives To investigate associations between daily concentrations of air pollution and myocardial infarction (MI), ST-elevation MI (STEMI) and non-ST-elevation MI (NSTEMI). Methods Modelled daily ground-level gaseous, total and speciated particulat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::255e2e4aa94175c7b3ce14352f037835
https://pubmed.ncbi.nlm.nih.gov/27621827

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