Kaspar Staub | Institute of Evolutionary Medicine (IEM) | UZH

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Kaspar Staub

Kaspar Staub, Prof. Dr. phil.

Adjunct Professor & Head Anthropometrics & Historical Epidemiology Group
Institute Manager

Phone: +41 44 635 05 13 (Room Y11 G68)
Address: Winterthurerstrasse 190, 8075 Zürich

E-Mail
ORCID

A) Online Profiles

ORCID-Profile (incl. CV, funding, etc.)
Google Scholar Profile

B) Research group, projects & news

See Group Webpage

C) Affiliations and Memberships

EU COST Action "The Great Leap. Multidisciplinary approaches to health inequalities, 1800-2022" (Working Group Leader)
IUSSP Panel "Epidemics & Contagious Diseases: The Legacy of the Past" (Panel Member)
Crisis Competence Center, UZH (Member)
Initiative Geisteswissenschaften, UZH (Member)
Epidemiology & Biostatistics PhD Program UZH (Member)
Center for Military & Disaster Medicine, Swiss Armed Forces (Member of the Scientific Board)
Zurich Center for Integrative Human Physiology (ZIHP) (Member)
Institute of History, University of Bern (Research Affiliate & Lecturer)
Digital Society Initiative (DSI), University of Zurich (Member)
Swiss School of Public Health SSPH+ (Faculty Member)

D) Publications

ZORA Publication List

Publications

2011
- Book Section
  - Staub, Kaspar (2011). Die Körperhöhe als Lebensstandardindikator. In: Martig, P. Berns moderne Zeit : das 19. und 20. Jahrhundert neu entdeckt. Bern, CH: Stämpfli, 143.
2010
- Journal Article
  - Staub, Kaspar; Rühli, Frank J; Woitek, Ulrich; Pfister, Christian (2010). BMI distribution/social stratification in Swiss conscripts from 1875 to present. European Journal of Clinical Nutrition, 64(4):335-340.
2009
- Journal Article
  - Staub, K E (2009). Simple tests for exogeneity of a binary explanatory variable in count data regression models. Communications in Statistics - Simulation and Computation, 38(9):1834-1855.

Pagination

Additional Information

Selected research projects are outlined on the webpage of the research group (led by K. Staub).

We run a fully equipped Scan Lab including a 3D laser-based photonic full body scanner. For more information please see the Scan Lab webpage. The Scanner has also been presented at Scientifica 2017.