Estimation of the general threshold limit values for dust

International Archives of Occupational and Environmental Health

Volumn 76, Issue 3, 2003, Pages 233-240

  Ulm, Kurt ^a   Salanti, G ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Generalised additive models; Isotonic regression; Logistic regression; Statistical modelling; Threshold value

Indexed keywords

ARTICLE; CHRONIC BRONCHITIS; CONTROLLED STUDY; DOSE RESPONSE; DUST; DUST EXPOSURE; HUMAN; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MAXIMUM ALLOWABLE CONCENTRATION; METHODOLOGY; NONBIOLOGICAL MODEL; OCCUPATIONAL HEALTH; REGRESSION ANALYSIS; RISK ASSESSMENT; SMOKING HABIT; STATISTICAL ANALYSIS; STATISTICAL MODEL;

EID: 0037701454     PISSN: 03400131     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00420-002-0392-7     Document Type: Article

References (34)

1. Bachetti P (1989) Additive isotonic models. J Am Stat Assoc 84:289-294
2. Breslow NE, Day NE (1980) Statistical Methods in Cancer Research. IARC, 32, Lyon
3. Checkoway H, Heyer NJ, Demers PA, Breslow NE (1993) Mortality among workers in the diatomaceous earth industry. Br J Ind Med 50:586-597
4. Chuang-Stein C, Agresti A (1997) Tutorial in biostatistics: A review of tests for detecting a monotone dose-response relationship with ordinal response data, Stat Med 16:2599-2618
5. Cox C (1987) Threshold dose-response models in toxicology. Biometrics 43:511-523
6. DFG (1978) Chronic Bronchitis and Occupational Dust Exposure. Harald Boldt, Boppard
7. DFG (1981) Chronische Bronchitis und Staubbelastung am Arbeitsplatz. Harald Boldt, Boppard
8. DFG (2002) List of MAK and BAT Values 2002. Wiley-VCH, Weinheim
9. Feder PI (1975) The log likelihood ratio in segmented regression. Ann Stat 3:84-97
10. Flesch-Janys D, Berger J, Gurn P, Manz A, Nagel S, Waltsgott H, Dwyer JH (1995) Exposure to polychlorinated dioxins and furans (PCDD/F) and mortality in a cohort of workers from a herbicide-producing plant in Hamburg, Federal Republic of Germany. Am J Epidemiol 142:1165-1175
11. Freeman JM (1986) An unknown change point and goodness of Fit. Statistician 35:335-344
12. Greim H, et al. (2002) Official answer of the German MAK commission to the review by McLaughlin et al. Int Arch Occup Environ Health (in press)
13. Hastie TJ, Tibshirani RJ (1995) Generalized additive models for medical research. Stat Methods Med Res 4:187-196
14. Jones RH, Molitoris BA (1984) A statistical method for determining the breakpoint of two lines. Anal Biochem 141:287-290
15. Küchenhoff H (1997) An exact algorithm for estimating break-points in segmented generalized linear models. Comput Stat 12:235-247
16. Küchenhoff H, Ulm K (1997) Comparison of statistical methods for assessing threshold limiting values in occupational epidemiology. Comput Stat 12:249-264
17. Leuraud K, Benichou JA (2001) Comparison of several methods to test for the existence of a monotonic dose-response relationship in clinical and epidemiological studies. Stat Med 20:3335-3351
18. Mancuso J, Ahn H, Chen J (2001) Order-restricted dose-related trend tests. Stat Med 20:2305-2318
19. McLaughlin JK, Lipworth L, Marano DE, Tarone R (2001) A critical evaluation of the scientific basis of the MAK Commission's new general threshold limit values for dust. Int Arch Occup Environ Health 74:303-314
20. Morton-Jones T, Diggle P, Parker L (2000) Additive isotonic regression models in epidemiology. Stat Med 19:849-860
21. Pastor R, Guallar E (1998) Use of two-segmented logistic regression to estimate change-points in epidemiologic studies. Am J Epidemiol 148:631-642
22. Pastor R, Guallar E (2001) Use of two-segmented logistic regression to estimate change-points in epidemiologic studies (letter). Am J Epidemiol 153:615
23. Rice FL, Park R, Stayner L, Smith R, Gilbert S, Checkoway H (2001) Crystalline silica exposure and lung cancer mortality in earth industry workers: A quantitative risk assessment. Occup Environ 58:38-45
24. Robertson T, Wright FT, Dykstra RL (1988) Order Restricted Statistical Inference. Wiley, New York
25. Royston P, Altman DG (1994) Regression using fractional polynomials of continuous covariates: Parsimonious parametric modeling. Appl Stat 43:429-467
26. Salanti G, Ulm K (2001) Multidimensional Isotonic Regression and Estimation of the Threshold Value. Discussion paper no. 234, Sonderforschungsbereich 386 der Ludwigs-Maximilian-Universität, Munich
27. Schell MJ, Singh B (1997) The reduced monotonic regression method. J Am Stat Assoc 92:128-135
28. Steenland K, Mannetje A, Boffetta P, Stayner L, et al. (2001) Pooled exposure-response analyses and risk assessment for lung cancer in 10 cohorts of silica-exposed workers: An IARC multicentre study. Cancer Causes Control 12:773-784
29. Ulm K (1989) On the estimation of threshold values (correspondence). Biometrics 45:1324-1326
30. Ulm K (1991) A statistical method for assessing a threshold in epidemiological studies. Stat Med 10:341-349
31. Ulm K (1999) Nonparametric analysis of dose-response relationships. Ann N Y Acad Sci 895:223-231
32. Ulm K, Küchenhoff H (2000) Use of two-segmented logistic regression to estimate change-points in epidemiologic studies (letter). Am J Epidemiol 152:289
33. Ulm K, Dannegger F, Spanier M (1996) Bericht über die Auswertung der Daten der Studie "Chronische Bronchitis". Discusssion paper nol. 39, Sonderforschungsbereich 386 der Ludwigs-Maximilian-Universität, Munich
34. Ulm K, Dannegger F, Becker U (1998) Test for Trends in Binary Response. Discussion paper no. 115, Sonderforschungsbereich 386 der Ludwigs-Maximilian-Universität, Munich