The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
A reanalysis of the stanton et al. pleural sarcoma data
Abstract
An analysis of the Stanton et al. (1981, J. Natl. Cancer Inst. 67, 965-975) data reconfirms number of index particles as the primary dimensional predictor of tumor incidence. Fitting separate intercepts and/or slopes to each mineral type results in substantial significant improvement in fit, indicating the importance of mineral type. This contrasts with the "Stanton hypothesis," which states that dimensional properties alone determine carcinogenesis. Log mean aspect ratio is not as good a predictor of tumor incidence as the number of index particles; among those samples that did not have index particles, log mean aspect ratio is not a significant predictor of tumor incidence.
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“This author also considered that the log (coefficient of average aspect ratio; i.e. the mean of the aspect ratio), was not as pertinent for predicting the incidence of tumors as the log of the number of fibers having the characteristics defined above.”
From Quantification of short and long asbestos fibers to assess asbestos exposure: A review of fiber size toxicity (2014) · cites this paper as [61]
In the citing paper
“Oehlert [61] reconfirmed the hypothesis that the log (number fiber > 8 μm in length and ≤ 0.25 μm in diameter) was a good parameter for predicting tumor incidence, but added that the correlation was better if each fiber type was treated separately.”
From Quantification of short and long asbestos fibers to assess asbestos exposure: A review of fiber size toxicity (2014) · cites this paper as [61]
Citations
Cites
Nonparametric Estimation from Incomplete Observations
Kaplan, E. L., & Meier, P. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-4380-9_25 · Cited by 45,181
Nonparametric Estimation from Incomplete Observations
Kaplan, E. L., & Meier, P. (1958) · Journal of the American Statistical Association · doi:10.1080/01621459.1958.10501452 · Cited by 39,158
(2005) · Statistics for Biology and Health · doi:10.1007/0-387-27255-0_9 · Cited by 20,133
David, F. N., & Tukey, J. W. (1977) · Biometrics · doi:10.2307/2529486 · Cited by 12,708
Beniger, J. R., & Tukey, J. W. (1978) · Contemporary Sociology · doi:10.2307/2065930 · Cited by 2,607
Holder, R. L., Mosteller, F. C., & Tukey, J. W. (1979) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.2307/2346739 · Cited by 1,693
Osborn, J. F., Mosteller, F., & Tukey, J. W. (1978) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344493 · Cited by 1,446
Carcinogenicity of Fibrous Glass: Pleural Response in the Rat in Relation to Fiber Dimension
Stanton, M. F., Layard, M., Tegeris, A., Miller, E., May, M., & Kent, E. (1977) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/58.3.587 · Cited by 467
Koerts, J. (1984) · European Journal of Operational Research · doi:10.1016/0377-2217(84)90200-5 · Cited by 297
Studies on surface properties of asbestos
Bonneau, L., Malard, C., & Pezerat, H. (1986) · Environmental Research · doi:10.1016/s0013-9351(86)80188-8 · Cited by 36
Research works printed but not linked: 1
- Stanton, 1981, Relation of particle dimension to carcinogenicity in amphibole asbestoses and other fibrous minerals, J. Natl. Cancer Inst., 67, 965
Cited by
Boulanger, G., Andujar, P., Pairon, J.-C., Billon-Galland, M.-A., Dion, C., Dumortier, P., Brochard, P., Sobaszek, A., Bartsch, P., Paris, C., et al. (2014) · Environmental Health · doi:10.1186/1476-069x-13-59 · Cited by 176
In vitro assessment of biopersistence using mammalian cell systems.
Jaurand, M. C. (1994) · Environmental Health Perspectives · doi:10.1289/ehp.94102s555 · Cited by 7
Metadata
- Authors
- Oehlert, G. W.
- Venue
- Environmental Research
- Publisher
- Elsevier BV
- Published
- 1991-04
- Volume
- 54
- Issue
- 2
- Pages
- 194-205
- ISSN
- 0013-9351
- Cited by
- 13
- References
- 14
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
