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Journal of Occupational and Environmental Hygiene Volume 5, 2007 - Issue 2
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Original Articles

Verifying Interpretive Criteria for Bioaerosol Data Using (Bootstrap) Monte Carlo Techniques

R. Christopher Spicer WCD Consultants, Pennington, New Jersey
&
Harry Gangloff WCD Consultants, Pennington, New Jersey
Pages 85-93 | Published online: 19 Dec 2007

Citations (5)

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Read on this site (1)

R. Christopher Spicer. (2020) Assessing background particulate contamination in an historic building – surface lead loading and contamination. Journal of the Air & Waste Management Association 70:8, pages 745-752.
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Articles from other publishers (4)

Mark J. Mendell & Rachel I. Adams. (2021) Does evidence support measuring spore counts to identify dampness or mold in buildings? A literature review. Journal of Exposure Science & Environmental Epidemiology 32:2, pages 177-187.
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R. Christopher Spicer & Harry J. Gangloff. (2016) Permutation/randomization-based inference for environmental data. Environmental Monitoring and Assessment 188:3.
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R. C. Spicer & H. J. Gangloff. (2014) The building performance model for evaluating bioaerosol data from suspect indoor environments. Indoor and Built Environment 24:5, pages 640-649.
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R. Christopher Spicer & Harry J. Gangloff. (2010) Differences in detection frequency as a bioaerosol data criterion for evaluating suspect fungal contamination. Building and Environment 45:5, pages 1304-1311.
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