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Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness

abstract published in 2013
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Summary

Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness is a scholarly conference abstract[1].

Key Facts

  • Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness authored additive versus relative measures for differential effectiveness — author (P50): Robert D. Daniels[2].
  • Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness authored additive versus relative measures for differential effectiveness — author (P50): Stephen J. Bertke[3].
  • Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness authored additive versus relative measures for differential effectiveness — author (P50): David B. Richardson[4].
  • Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness's instance of is recorded as additive versus relative measures for differential effectiveness — instance of (P31): scholarly conference abstract[5].
  • Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness's page is recorded as A112-A112[6].
  • Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness's DOI is recorded as 10.1136/OEMED-2013-101717.328[7].
  • Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness's language of work or name is recorded as additive versus relative measures for differential effectiveness — language of work or name (P407): English[8].
  • Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness's issue is recorded as Suppl_1[9].
  • Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness's volume is recorded as 70[10].
  • Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness's publication date is recorded as +2013-09-01T00:00:00Z[11].
  • Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness's sponsor is recorded as additive versus relative measures for differential effectiveness — sponsor (P859): NIOSH Division of Field Studies and Engineering[12].
  • Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness's main subject is recorded as additive versus relative measures for differential effectiveness — main subject (P921): industrial manufacturing[13].
  • Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness's main subject is recorded as additive versus relative measures for differential effectiveness — main subject (P921): irradiation[14].
  • Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness's main subject is recorded as additive versus relative measures for differential effectiveness — main subject (P921): toxicology[15].
  • Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness's main subject is recorded as additive versus relative measures for differential effectiveness — main subject (P921): epidemiology[16].
  • Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness's published in is recorded as additive versus relative measures for differential effectiveness — published in (P1433): Occupational and Environmental Medicine[17].
  • Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness's title is recorded as Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness[18].
  • Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness's author name string is recorded as G. B. H. Hamra[19].
  • Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness's author name string is recorded as R. F. M. MacLehose[20].
  • Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness's NIOSHTIC-2 ID is recorded as 20043497[21].
  • Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness's on focus list of Wikimedia project is recorded as additive versus relative measures for differential effectiveness — on focus list of Wikimedia project (P5008): Wikimedia–NIOSH collaboration[22].
  • Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness's publication type of scholarly work is recorded as additive versus relative measures for differential effectiveness — publication type of scholarly work (P13046): scientific publication[23].

Body

Designation and Status

Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness's instance of is recorded as additive versus relative measures for differential effectiveness — instance of (P31): scholarly conference abstract[5].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [5] ↑ . wikidata.org.
  2. [2] ↑ . wikidata.org.
  3. [3] ↑ . wikidata.org.
  4. [4] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . wikidata.org.
  8. [9] ↑ . wikidata.org.
  9. [10] ↑ . wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  12. [13] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  13. [14] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  14. [15] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  15. [16] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  16. [17] ↑ . wikidata.org.
  17. [18] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  18. [19] ↑ . wikidata.org.
  19. [20] ↑ . wikidata.org.
  20. [21] ↑ . wikidata.org.
  21. [22] ↑ . wikidata.org.
  22. [23] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness. Retrieved October 20, 2026, from https://4ort.xyz/entity/modelling-complex-mixtures-in-epidemiologic-analysis-additive-versus-relative-measures-for-differential-effectiveness
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BibTeX @misc{4ortxyz_modelling-complex-mixtures-in-epidemiologic-analysis-additive-versus-relative-measures-for-differential-effectiveness_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness}}, year = {2026}, url = {https://4ort.xyz/entity/modelling-complex-mixtures-in-epidemiologic-analysis-additive-versus-relative-measures-for-differential-effectiveness}, note = {Accessed: 2026-10-20}}
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