Advanced

Sampling uncertainty in medical research.

Ranstam, Jonas LU (2009) In Osteoarthritis and Cartilage 17. p.1416-1419
Abstract
OBJECTIVE: Statistical analysis is ubiquitous in medical research, but fundamental statistical principles are not always well understood, which has negative effects for both authors and readers of scientific papers. The purpose of this brief review is to provide a methodological overview on populations, samples, analysis units and sampling uncertainty to facilitate an increased understanding of statistical concepts.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Osteoarthritis and Cartilage
volume
17
pages
1416 - 1419
publisher
Elsevier
external identifiers
  • wos:000271456300004
  • pmid:19410026
  • scopus:70349762699
ISSN
1063-4584
DOI
10.1016/j.joca.2009.04.007
language
English
LU publication?
yes
id
ed0c1bd9-cadc-4b52-a5a3-58996ff27dc7 (old id 1412781)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/19410026?dopt=Abstract
date added to LUP
2009-06-01 09:00:53
date last changed
2017-01-01 07:31:39
@article{ed0c1bd9-cadc-4b52-a5a3-58996ff27dc7,
  abstract     = {OBJECTIVE: Statistical analysis is ubiquitous in medical research, but fundamental statistical principles are not always well understood, which has negative effects for both authors and readers of scientific papers. The purpose of this brief review is to provide a methodological overview on populations, samples, analysis units and sampling uncertainty to facilitate an increased understanding of statistical concepts.},
  author       = {Ranstam, Jonas},
  issn         = {1063-4584},
  language     = {eng},
  pages        = {1416--1419},
  publisher    = {Elsevier},
  series       = {Osteoarthritis and Cartilage},
  title        = {Sampling uncertainty in medical research.},
  url          = {http://dx.doi.org/10.1016/j.joca.2009.04.007},
  volume       = {17},
  year         = {2009},
}