Professional judgment and the interpretation of viable mold air sampling data

Journal of Occupational and Environmental Hygiene

Volumn 5, Issue 10, 2008, Pages 656-663

  Johnson, David ^a   Thompson, David ^a   Clinkenbeard, Rodney ^a   Redus, Jason ^b  

^a UNIVERSITY OF OKLAHOMA HEALTH SCIENCES CENTER   (United States)

^b Industrial Hygiene and Safety Technology Inc   (United States)

Author keywords

Interpretation; Judgment; Mold; Statistics

Indexed keywords

AIR POLLUTANT; ARTICLE; ENVIRONMENTAL MONITORING; FUNGUS; HUMAN; INDOOR AIR POLLUTION; ISOLATION AND PURIFICATION; METHODOLOGY; OBSERVER VARIATION; REPRODUCIBILITY; STACHYBOTRYS;

AIR POLLUTANTS; AIR POLLUTION, INDOOR; ENVIRONMENTAL MONITORING; FUNGI; HUMANS; OBSERVER VARIATION; REPRODUCIBILITY OF RESULTS; STACHYBOTRYS;

EID: 49649107271     PISSN: 15459624     EISSN: 15459632     Source Type: Journal    
DOI: 10.1080/15459620802310796     Document Type: Article

References (17)

1. Macher, J.: Introduction. In Bioaerosols Assessment and Control, J. Macher (ed.). Cincinnati, Ohio: American Conference of Governmental Industrial Hygienists (ACGIH), 1999. pp. 1.1–1.5.
2. Brandys, R.C., and G.M. Brandys: Worldwide Exposure Standards for Mold and Bacteria, 6th edition. Hinsdale, Ill.: Occupational and Environmental Health Consulting Services, Inc., 2006.
3. Levetin, E.: Fungi. In Bioaerosols, H.A. Burge (ed.). Boca Raton, Fla.: CRC Press, 1995. pp. 87–120.
4. American Industrial Hygiene Association (AIHA): Field Guide for the Determination of Biological Contaminants in Environmental Samples. Fairfax, Va.: American Industrial Hygiene Association, 1996. pp. 7.
5. Burge, H.A., J.M. Macher, D.K. Milton, and H.A. Amman: Data evaluation. In Bioaerosols Assessment and Control, J. Macher (ed.). Cincinnati, Ohio: American Conference of Governmental Industrial Hygienists, 1999. pp. 14–18.
6. Macher, J.: Data analysis. In Bioaerosols Assessment and Control, J. Macher (ed.). Cincinnati, Ohio: American Conference of Governmental Industrial Hygienists, 1999. pp. 13.1–13.16.
7. Solomon, W.R. and H.A. Burge: Allergens and pathogens. In Indoor Air Quality, W.R.Walsh et al. (eds.). Boca Raton, Fla.: CRC Press, 1984. pp. 174–175.
8. Redus, J.C.: A Comparison of Viable and Non-Viable Techniques for Assessment of Mold Contamination in Indoor Environments. Master’s thesis, University of Oklahoma Health Sciences Center, Oklahoma City, 2006.
9. Sheskin, D.J.: Handbook of Parametric and Nonparametric Statistical Procedures, 3rd Edition. Boca Raton, Fla.: Chapman and Hall/CRC, 2004. pp. 543–547.
10. Baker, K., D. Brand, and J. Hen: Classifying asthma: Disagreement among specialists. Chest 124:2156–2163 (2003).
11. Weber, M., M. Bock, C. Plathow, et al.: Asbestos-related pleural disease: Value of dedicated magnetic resonance imaging techniques. Invest. Radiol. 39:554–564 (2004).
12. Bergeron, S., S. Gouin, B. Bailey, D. Amre, and H. Patel: Agreement among pediatric health care professionals, with the pediatric Canadian Triage and Acuity Scale Guidelines. Pediatr. Emerg. Care 20:514–518 (2004).
13. Landis J.R., and G.G. Koch: The measurement of observer agreement for categorical data.Biometrics 33:159–174 (1977).
14. Siegel, S., and J. Castellan: Nonparametric Statistics for the Behavioral Sciences, 2nd Edition. New York: McGraw-Hill, 1988. pp. 284–291.
15. Sheu, C-F: Fitting mixed-effects models for repeated ordinal outcomes with the NLMIXED procedure. Behav. Res. Methods Instrum. Comp. 34(2):151–157 (2002).
16. Hedeker, D., and R.J. Mermelstein: Analysis of longitudinal substance use outcomes using ordinal random-effects regression models. Addiction 95(Suppl 3):S381–S394 (2000).
17. Patefield, M.: Fitting non-linear structural relationships using SAS procedure NLMIXED. The Statistician 51:355–366 (2002).