Sampling strategies for oiccupational exposure assessment under generalized linear model

Annals of Occupational Hygiene

Volumn 53, Issue 5, 2009, Pages 509-521

  Chen, Chu Chih ^a   Chuang, Cheng Lin ^a   Wu, Kuen Yuh ^b   Chan, Chang Chuan ^b  

^a NATIONAL HEALTH RESEARCH INSTITUTES   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Exponential family distribution; Gamma distribution; Generalized estimating equation; Log normal distribution; Long term trend; Mixed model

Indexed keywords

EXPONENTIAL FAMILY DISTRIBUTION; GAMMA DISTRIBUTION; GENERALIZED ESTIMATING EQUATION; LOG-NORMAL DISTRIBUTION; LONG-TERM TREND; MIXED MODEL;

INDUSTRIAL HYGIENE; NORMAL DISTRIBUTION; POPULATION STATISTICS; PROBABILITY; STATISTICAL TESTS;

SAMPLING;

ARTICLE; CONTROLLED STUDY; INDUSTRIAL HYGIENE; OCCUPATIONAL EXPOSURE; PRIORITY JOURNAL; SAMPLE SIZE; STATISTICAL MODEL; WORKER; DANGEROUS GOODS; ENVIRONMENTAL MONITORING; EXPOSURE; HUMAN; METHODOLOGY; OCCUPATIONAL HEALTH; STATISTICS;

ENVIRONMENTAL MONITORING; HAZARDOUS SUBSTANCES; HUMANS; INHALATION EXPOSURE; LINEAR MODELS; OCCUPATIONAL EXPOSURE; OCCUPATIONAL HEALTH; SAMPLE SIZE;

EID: 68149120422     PISSN: 00034878     EISSN: 14753162     Source Type: Journal    
DOI: 10.1093/annhyg/mep034     Document Type: Article

References (30)

1. Burdorf A, van Tongeren M. (2003) Variability in workerplace exposures and the design of efficient measurements and control strategies. Ann Occup Hyg; 47: 95-9.
2. Burstyn I, Kromhout H, Kauppinen T et al. (2000) Statistical modeling of the determinants of historical exposure to bitumen and polycyclic aromatic hydrocarbons among paving workers. Ann Occup Hyg; 44: 43-56.
3. Diggle PJ, Liang K-Y, Zeger SL. (1994) Analysis of longitudinal data. New York: Oxford University Press.
4. Firth D. (1988) Multiplicative errors: log-normal or gamma? J R Stat Soc B; 50: 266-8.
5. Kromhout H. (2002) Design of measurement strategies for workplace exposures. Occup Environ Med; 59: 349-54.
6. Kromhout H, Symanski E, Rappaport SM. (1993) A comprehensive evaluation of within- and between-worker components of occupational exposure to chemical agents. AnnOccup Hyg; 37: 253-70.
7. Kromhout H, Vermeulen R. (2000) Long-term trends in occupational exposure: Are they real? What causes them? What shall we do with them? Ann Occup Hyg; 44: 325-7.
8. Lampa EG, Nilsson L, Lilhelind IE et al. (2006) Optimizing occupational exposure measurement strategies when estimating the log-scale arithmetic mean value-an example from the reinforced plastics industry. Ann Occup Hyg; 50: 371-7.
9. Liang K-Y, Zeger SL. (1986) Longitudinal data analysis using generalized linear models. Biometrika; 73: 13-22.
10. Liu G, Liang K-Y. (1997) Sample size calculations for studies with correlated observations. Biometrics; 53: 937-47.
11. Lyles RH, Kupper LL, Rappaport SM. (1997a) A lognormal distribution-based exposure assessment method for unbalanced data. Ann Occup Hyg; 41: 63-76.
12. Lyles RH, Kupper LL, Rappaport SM. (1997b) Assessing regulatory compliance of occupational exposures via the balanced one-way random effects ANOVA model. J Agric Biol Environ Stat; 2: 64-86.
13. McCullagh P, Nelder JA. (1989) Generalized linear models. 2nd edn. London: Chapman and Hall.
14. Rao CR. (2001) Linear statistical inference and its applications. 2nd edn. New York: John Wiley & Sons.
15. Rappaport SM, Kromhout H, Symanski E. (1993) Variation of exposure between workers in homogeneous exposure groups. Am Ind Hyg Assoc J; 54: 654-62.
16. Rappaport SM, Lyles RH, Kupper LL. (1995) An exposure- assessment strategy accounting for within- and between- worker sources of variability. Ann Occup Hyg; 39: 469-95.
17. Rappaport SM, Weaver M, Taylor D et al. (1999) Application of mixed models to assess exposures monitored by construction workers during hot processes. Ann Occup Hyg; 43: 457-69.
18. Symanski E, Chan W, Chang C-C. (2001a) Mixed-effects models for the evaluation of long-term trends in exposure levels with an example from the nickel industry. Ann Occup Hyg; 45: 71-81.
19. Symanski E, Kupper LL, Hertz-Picciotto I et al. (1998b) Comprehensive evaluation of long term trends in occupational exposure: part 2. Predictive models for declining exposures. Occup Environ Med; 55: 310-6.
20. Symanski E, Kupper LL, Kromhout H et al. (1996) An investigation of systematic changes in occupational exposure.Am Ind Hyg Assoc J; 57: 724-35.
21. Symanski E, Kupper LL, Rappaport SM. (1998a) Comprehenive evaluation of long term trends in occupational exposure: part 1. Description of the database. Occup Environ Med; 55: 300-9.
22. Symanski E, Maberti S, Chan W. (2006) A meta-analytic approach for characterizing the within-worker and between- worker sources of variation in occupational exposure. Ann Occup Hyg; 50: 343-57.
23. Symanski E, Sallsten G, Chan W et al. (2001b) Heterogeneity in sources of exposure variability among groups of workers exposed to inorganic mercury. Ann Occup Hyg; 45: 677-87.
24. Tornero-Velez R, Symanski E, Kromhout H et al. (1997) Compliance versus risk in assessing occupational exposures. Risk Anal; 17: 279-92.
25. van Tongeren MJ, Burstyn I, Kromhout H et al. (2006) Are variance components of exposure heterogeneous between time periods and factories in the European carbon black industry? Ann Occup Hyg; 50: 55-64.
26. van Tongeren MJ, Kromhout H, Gardiner K. (2000) Trends in levels of inhalable dust exposure, exceedance and overexpo- sure in the European carbon black manufacturing industry. Ann Occup Hyg; 44: 271-80.
27. Vermeulen R, de Hartog J, Swuste P et al. (2000) Trends in exposure to inhalable particulate and dermal contamination in the rubber manufacturing industry: effectiveness of controlmeasures implemented over a nine-year period. Ann Occup Hyg; 44: 343-54.
28. Weaver MA, Kupper LL, Taylor D et al. (2001) Simultaneous assessment of ccupational exposures from multiple worker groups. Ann Occup Hyg; 45: 525-42.
29. Zeger SL, Liang K-Y. (1986) Longitudinal data analysis for discrete and continuous outcomes. Biometrics; 42: 121-30.
30. Zeger SL, Liang K-Y, Albert PS. (1988) Models for longitudinal data: a generalized estimating equation approach. Biometrics; 44: 1049-60.