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Werner Vach

researcher
Person human Q38803024

Facts

12 properties
Instance of
human
Sex or gender
male[9]
Occupation
statistician, university teacher
Employer
University Hospital of Basel, University of Freiburg[7]
Field of work
statistics, biometrics, clinical epidemiology, health informatics[3][4][5][6]
Educated at
Technical University of Dortmund, Technical University of Dortmund
Doctoral advisor
Martin Schumacher[8]
Doctoral student
Henrik Støvring, Sonja Wehberg, Hong Sun[10][11][12]
Languages spoken, written or signed
German, English[15][16]
Family name
Vach[13]
Given name
Werner[14]
Maintained by WikiProject
WikiProject Mathematics[17]
🏷️ Also known as
en Werner Vach cs W. Vach
🔖 Identifiers · 24
ISNI
0000000117714171
ORCID iD
0000-0003-1865-8399
VIAF cluster ID
76936593
Library of Congress authority ID
n94006021
GND ID
111242738
DDB person (GND) ID
111242738
Dimensions author ID
01340137301.34
Google Scholar author ID
wjiYaUUAAAAJ
IdRef ID
145214397
MR Author ID
288246
Mathematics Genealogy Project ID
192787
NL CR AUT ID
mub20231174426
Show all 24 identifiers +12
NUKAT ID
n2009096071
National Library of Israel J9U ID
987007323643605171
Nationale Thesaurus voor Auteursnamen ID
130131792
Publons author ID
2782768
ResearchGate profile ID
Werner_Vach
ResearcherID
F-2512-2011
SHARE Catalogue author ID
441998
Scopus author ID
7006001218
Semantic Scholar author ID
2046649
WorldCat Entities ID
E39PBJfGVJmcYJwrffGjcmM773
Yale LUX ID
person/4bbd0162-020b-4b68-9f1d-0014086c5205
ZbMATH author ID
vach.werner

Report an error or request removal Lineage (PROV-JSON)

🔗 Connections
Affiliated with 7
University of Freiburg, University of Basel, University Hospital of Basel, Medical Center – University of Freiburg, Biomet, Nordisk Institut for Kiropraktik og Klinisk Biomekanik, Zimmer Biomet (Germany)
Author of 6
Applying Automated MR-Based Diagnostic Methods to the Memory Clinic: A Prospective Study, Longitudinal healthcare analytics for disease management: Empirical demonstration for low back pain, Patients with low back pain had distinct clinical course patterns that were typically neither complete recovery nor constant pain. A latent class analysis of longitudinal data, Separating Symptomatic Alzheimer’s Disease from Depression based on Structural MRI, Testing the validity of population-specific sex estimation equations: An evaluation based on talus and patella measurements, Using existing questionnaires in latent class analysis: should we use summary scores or single items as input? A methodological study using a cohort of patients with low back pain
← Authored by 6
Applying Automated MR-Based Diagnostic Methods to the Memory Clinic: A Prospective Study, Longitudinal healthcare analytics for disease management: Empirical demonstration for low back pain, Patients with low back pain had distinct clinical course patterns that were typically neither complete recovery nor constant pain. A latent class analysis of longitudinal data, Separating Symptomatic Alzheimer’s Disease from Depression based on Structural MRI, Testing the validity of population-specific sex estimation equations: An evaluation based on talus and patella measurements, Using existing questionnaires in latent class analysis: should we use summary scores or single items as input? A methodological study using a cohort of patients with low back pain
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Summary

Werner Vach has worked as a statistician[1] and university teacher[2].

FAQs

What did Werner Vach do for work?

Werner Vach worked as a statistician[1] and university teacher[2].

References

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

Direct Wikidata claims

  1. [9] ↑ . IdRef. Retrieved . wikidata.org.
  2. [3] ↑ . Czech National Authority Database. Retrieved . wikidata.org.
  3. [4] ↑ . Czech National Authority Database. Retrieved . wikidata.org.
  4. [5] ↑ . Czech National Authority Database. Retrieved . wikidata.org.
  5. [6] ↑ . Czech National Authority Database. Retrieved . wikidata.org.
  6. [1] ↑ . Integrated Authority File. Retrieved . wikidata.org.
  7. [2] ↑ . Czech National Authority Database. Retrieved . wikidata.org.
  8. [7] ↑ . Retrieved . wikidata.org.
  9. [8] ↑ . Mathematics Genealogy Project. wikidata.org.
  10. [10] ↑ . Mathematics Genealogy Project. wikidata.org.
  11. [11] ↑ . Mathematics Genealogy Project. wikidata.org.
  12. [12] ↑ . Mathematics Genealogy Project. wikidata.org.
  13. [13] ↑ . wikidata.org.
  14. [14] ↑ . wikidata.org.
  15. [15] ↑ . Czech National Authority Database. Retrieved . wikidata.org.
  16. [16] ↑ . Czech National Authority Database. Retrieved . wikidata.org.
  17. [17] ↑ . wikidata.org.

📑 Cite this page

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). Werner Vach. Retrieved October 30, 2026, from https://4ort.xyz/entity/werner-vach
MLA “Werner Vach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 30 Oct. 2026, https://4ort.xyz/entity/werner-vach.
BibTeX @misc{4ortxyz_werner-vach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Werner Vach}}, year = {2026}, url = {https://4ort.xyz/entity/werner-vach}, note = {Accessed: 2026-10-30}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Werner Vach — https://4ort.xyz/entity/werner-vach (retrieved 2026-10-30)

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Edit History

Rolling log of changes to this entity's Wikidata record. Values shown reflect the current state of each edited property — follow the history link to see the precise diff for any edit.

  1. 13w ago · Alessandro Marchetti (WMCH) · 2026-08-05 view diff on Wikidata ↗
    IdRef ID → 145214397
    ISNI → 0000000117714171
    Dimensions author ID → 01340137301.34
    Imported from → —
    + 34 other properties edited (see Wikidata diff for full list)
    "/* wbsetclaim-create:2||1 */ Scopus author ID: 7006001218"
Live feed via Wikidata EventStreams. New edits appear within minutes of being made on Wikidata.