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Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations

2018 doctoral thesis by Romana Pylypchuk at University of Auckland
Place doctoral_thesis Q112937919
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Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations

Summary

Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations is a doctoral thesis[1].

Key Facts

  • Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations authored the derivation and validation of equations for primary prevention and diabetes populations — author (P50): Romana Pylypchuk[2].
  • Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations's instance of is recorded as the derivation and validation of equations for primary prevention and diabetes populations — instance of (P31): doctoral thesis[3].
  • Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations's publisher is recorded as the derivation and validation of equations for primary prevention and diabetes populations — publisher (P123): ResearchSpace@Auckland[4].
  • Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations's country of origin is recorded as the derivation and validation of equations for primary prevention and diabetes populations — country of origin (P495): New Zealand[5].
  • Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations's publication date is recorded as +2018-00-00T00:00:00Z[6].
  • Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations's main subject is recorded as the derivation and validation of equations for primary prevention and diabetes populations — main subject (P921): community health[7].
  • Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations's work available at URL is recorded as https://researchspace.auckland.ac.nz/handle/2292/45658[8].
  • Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations's Handle ID is recorded as 2292/45658[9].
  • Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations's title is recorded as Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations[10].
  • Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations's copyright holder is recorded as the derivation and validation of equations for primary prevention and diabetes populations — copyright holder (P3931): Romana Pylypchuk[11].
  • Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations's thesis submitted to is recorded as the derivation and validation of equations for primary prevention and diabetes populations — thesis submitted to (P4101): University of Auckland[12].
  • Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations's on focus list of Wikimedia project is recorded as the derivation and validation of equations for primary prevention and diabetes populations — on focus list of Wikimedia project (P5008): NZThesisProject[13].
  • Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations's copyright status is recorded as the derivation and validation of equations for primary prevention and diabetes populations — copyright status (P6216): copyrighted[14].
  • Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations's online access status is recorded as the derivation and validation of equations for primary prevention and diabetes populations — online access status (P6954): open access[15].
  • Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations's thesis committee member is recorded as the derivation and validation of equations for primary prevention and diabetes populations — thesis committee member (P9161): Rod Jackson[16].
  • Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations's thesis committee member is recorded as the derivation and validation of equations for primary prevention and diabetes populations — thesis committee member (P9161): Susan Wells[17].
  • Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations's thesis committee member is recorded as the derivation and validation of equations for primary prevention and diabetes populations — thesis committee member (P9161): Roger Marshall[18].
  • Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations's thesis committee member is recorded as the derivation and validation of equations for primary prevention and diabetes populations — thesis committee member (P9161): Katrina Poppe[19].

Body

Designation and Status

Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations's instance of is recorded as the derivation and validation of equations for primary prevention and diabetes populations — instance of (P31): doctoral thesis[3].

References

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

Direct Wikidata claims

  1. [3] ↑ . wikidata.org.
  2. [2] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . 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] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.
  15. [16] ↑ . wikidata.org.
  16. [17] ↑ . wikidata.org.
  17. [18] ↑ . wikidata.org.
  18. [19] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations. Retrieved May 3, 2026, from https://4ort.xyz/entity/cardiovascular-disease-risk-prediction-modelling-in-400-000-primary-care-patients-in-new-zealand-the-derivation-and-validation-of-equations-for-primary-prevention-and-diabetes-populations
MLA “Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/cardiovascular-disease-risk-prediction-modelling-in-400-000-primary-care-patients-in-new-zealand-the-derivation-and-validation-of-equations-for-primary-prevention-and-diabetes-populations.
BibTeX @misc{4ortxyz_cardiovascular-disease-risk-prediction-modelling-in-400-000-primary-care-patients-in-new-zealand-the-derivation-and-validation-of-equations-for-primary-prevention-and-diabetes-populations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Cardiovascular disease risk prediction modelling in 400,000 primary care patients in New Zealand: the derivation and validation of equations for primary prevention and diabetes populations}}, year = {2026}, url = {https://4ort.xyz/entity/cardiovascular-disease-risk-prediction-modelling-in-400-000-primary-care-patients-in-new-zealand-the-derivation-and-validation-of-equations-for-primary-prevention-and-diabetes-populations}, note = {Accessed: 2026-05-03}}
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