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Christopher Naugler

Researcher at University of Calgary

Publications -  176
Citations -  3331

Christopher Naugler is an academic researcher from University of Calgary. The author has contributed to research in topics: Population & Health care. The author has an hindex of 26, co-authored 170 publications receiving 2692 citations. Previous affiliations of Christopher Naugler include Dalhousie University & Alberta Health Services.

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Journal ArticleDOI

Fasting time and lipid levels in a community-based population: a cross-sectional study.

Davinder Sidhu, +1 more
- 10 Dec 2012 - 
TL;DR: Fasting times showed little association with lipid subclass levels in a community-based population, which suggests that fasting for routine lipid levels is largely unnecessary.
Journal Article

Development and validation of an improving prescribing in the elderly tool.

Christopher Naugler, +3 more
- 01 Jan 2000 - 
TL;DR: The Improving Prescribing in the Elderly Tool (IPET) is a brief, reliable and valid tool based on the published literature that may be used to screen for potentially inappropriate prescriptions in the elderly.
Journal ArticleDOI

Life cycle environmental impacts of wine production and consumption in Nova Scotia, Canada

E. Point, +2 more
- 01 May 2012 - 
TL;DR: In this paper, the authors quantify environmental impacts and improvement options for the full life cycle of one 750ml bottle of wine produced and consumed in Nova Scotia, Canada, and find that viticulture and consumer transport contribute the greatest portion of wine's total impacts.
Journal ArticleDOI

Begging Intensity of Nestling Birds Varies with Sibling Relatedness

James V. Briskie, +2 more
- 22 Oct 1994 - 
TL;DR: It is shown that the loudness of nestling begging calls increases as the relatedness amongst the members of a brood declines, suggesting that increased intensity of begging can evolve whenever female promiscuity or brood parasitism lowers the coefficient of relatedness among nestmates.
Journal ArticleDOI

An Immunohistochemical Algorithm for Ovarian Carcinoma Typing.

Martin Köbel, +21 more
- 01 Sep 2016 - 
TL;DR: This study provides statistically validated, inexpensive IHC algorithms, which have versatile applications in research, clinical practice, and clinical trials, that are suitable for ovarian carcinoma histotyping.