Epidemiological modeling of acute mountain sickness (AMS). A prospective data collection standard.
Publication
, Journal Article
Vann, RD; Pollock, NW; Pieper, CF; Murdoch, DR; Muza, SR; Natoli, MJ; Wang, LY
Published in: Adv Exp Med Biol
2003
Duke Scholars
Published In
Adv Exp Med Biol
DOI
ISSN
0065-2598
Publication Date
2003
Volume
543
Start / End Page
355 / 358
Location
United States
Related Subject Headings
- United States
- Surveys and Questionnaires
- Prospective Studies
- Models, Statistical
- Humans
- General & Internal Medicine
- Epidemiologic Methods
- Data Collection
- Confidentiality
- Altitude Sickness
Citation
APA
Chicago
ICMJE
MLA
NLM
Vann, R. D., Pollock, N. W., Pieper, C. F., Murdoch, D. R., Muza, S. R., Natoli, M. J., & Wang, L. Y. (2003). Epidemiological modeling of acute mountain sickness (AMS). A prospective data collection standard. Adv Exp Med Biol, 543, 355–358. https://doi.org/10.1007/978-1-4419-8997-0_25
Vann, Richard D., Neal W. Pollock, Carl F. Pieper, David R. Murdoch, Stephen R. Muza, Michael J. Natoli, and Luke Y. Wang. “Epidemiological modeling of acute mountain sickness (AMS). A prospective data collection standard.” Adv Exp Med Biol 543 (2003): 355–58. https://doi.org/10.1007/978-1-4419-8997-0_25.
Vann RD, Pollock NW, Pieper CF, Murdoch DR, Muza SR, Natoli MJ, et al. Epidemiological modeling of acute mountain sickness (AMS). A prospective data collection standard. Adv Exp Med Biol. 2003;543:355–8.
Vann, Richard D., et al. “Epidemiological modeling of acute mountain sickness (AMS). A prospective data collection standard.” Adv Exp Med Biol, vol. 543, 2003, pp. 355–58. Pubmed, doi:10.1007/978-1-4419-8997-0_25.
Vann RD, Pollock NW, Pieper CF, Murdoch DR, Muza SR, Natoli MJ, Wang LY. Epidemiological modeling of acute mountain sickness (AMS). A prospective data collection standard. Adv Exp Med Biol. 2003;543:355–358.
Published In
Adv Exp Med Biol
DOI
ISSN
0065-2598
Publication Date
2003
Volume
543
Start / End Page
355 / 358
Location
United States
Related Subject Headings
- United States
- Surveys and Questionnaires
- Prospective Studies
- Models, Statistical
- Humans
- General & Internal Medicine
- Epidemiologic Methods
- Data Collection
- Confidentiality
- Altitude Sickness