Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression

conference abstract published in 2000
Place scholarly_conference_abstract Q26322192
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Summary

Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression is a scholarly conference abstract[1].

Key Facts

  • Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression authored Ellen A. Eisen[2].
  • Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression authored Patricia A. Sullivan[3].
  • Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression's instance of is recorded as scholarly conference abstract[4].
  • Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression's page is recorded as S44[5].
  • Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression's language of work or name is recorded as English[6].
  • Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression's issue is recorded as 11(Suppl)[7].
  • Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression's volume is recorded as 151[8].
  • Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression's publication date is recorded as +2000-06-01T00:00:00Z[9].
  • Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression's sponsor is recorded as NIOSH Respiratory Health Division[10].
  • Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression's main subject is recorded as epidemiology[11].
  • Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression's main subject is recorded as exposure assessment[12].
  • Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression's main subject is recorded as occupational exposure limit[13].
  • Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression's main subject is recorded as dose–response relationship[14].
  • Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression's work available at URL is recorded as http://aje.oxfordjournals.org/supplements.dtl[15].
  • Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression's published in is recorded as American Journal of Epidemiology[16].
  • Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression's title is recorded as Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression[17].
  • Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression's author name string is recorded as Kriebel-D[18].
  • Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression's author name string is recorded as Woskie-SR[19].
  • Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression's author name string is recorded as Wegman-DH[20].
  • Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression's NIOSHTIC-2 ID is recorded as 20025072[21].
  • Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression's on focus list of Wikimedia project is recorded as Wikimedia–NIOSH collaboration[22].
  • Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression's publication type of scholarly work is recorded as scientific publication[23].

Body

Designation and Status

Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression's instance of is recorded as scholarly conference abstract[4].

References

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

Direct Wikidata claims

  1. [4] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  2. [2] ↑ . NIOSHTIC-2. wikidata.org.
  3. [3] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  4. [5] ↑ . NIOSHTIC-2. wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . NIOSHTIC-2. wikidata.org.
  7. [8] ↑ . NIOSHTIC-2. wikidata.org.
  8. [9] ↑ . NIOSHTIC-2. wikidata.org.
  9. [10] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  10. [11] ↑ . NIOSHTIC-2. Retrieved . 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. wikidata.org.
  16. [17] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  17. [18] ↑ . NIOSHTIC-2. wikidata.org.
  18. [19] ↑ . NIOSHTIC-2. wikidata.org.
  19. [20] ↑ . NIOSHTIC-2. 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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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression. Retrieved May 3, 2026, from https://4ort.xyz/entity/evaluating-non-linearities-in-the-exposure-response-relationship-using-nonparametric-smoothing-and-conditional-logistic-regression
MLA “Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/evaluating-non-linearities-in-the-exposure-response-relationship-using-nonparametric-smoothing-and-conditional-logistic-regression.
BibTeX @misc{4ortxyz_evaluating-non-linearities-in-the-exposure-response-relationship-using-nonparametric-smoothing-and-conditional-logistic-regression_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating non-linearities in the exposure response relationship using nonparametric smoothing and conditional logistic regression}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-non-linearities-in-the-exposure-response-relationship-using-nonparametric-smoothing-and-conditional-logistic-regression}, note = {Accessed: 2026-05-03}}
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