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Sample size requirements for case-control study designs

Overview of attention for article published in BMC Medical Research Methodology, November 2001
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Title
Sample size requirements for case-control study designs
Published in
BMC Medical Research Methodology, November 2001
DOI 10.1186/1471-2288-1-11
Pubmed ID
Authors

Michael D Edwardes

Abstract

Published formulas for case-control designs provide sample sizes required to determine that a given disease-exposure odds ratio is significantly different from one, adjusting for a potential confounder and possible interaction. The formulas are extended from one control per case to F controls per case and adjusted for a potential multi-category confounder in unmatched or matched designs. Interactive FORTRAN programs are described which compute the formulas. The effect of potential disease-exposure-confounder interaction may be explored. Software is now available for computing adjusted sample sizes for case-control designs.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Nigeria 3 2%
United States 3 2%
Zimbabwe 1 <1%
Malawi 1 <1%
Tanzania, United Republic of 1 <1%
United Kingdom 1 <1%
Germany 1 <1%
Uzbekistan 1 <1%
Australia 1 <1%
Other 0 0%
Unknown 187 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 39 20%
Researcher 36 18%
Student > Ph. D. Student 27 14%
Student > Doctoral Student 11 6%
Student > Bachelor 11 6%
Other 44 22%
Unknown 32 16%
Readers by discipline Count As %
Medicine and Dentistry 81 41%
Nursing and Health Professions 22 11%
Agricultural and Biological Sciences 12 6%
Mathematics 7 4%
Environmental Science 6 3%
Other 33 17%
Unknown 39 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 August 2011.
All research outputs
#13,042,273
of 22,977,819 outputs
Outputs from BMC Medical Research Methodology
#1,198
of 2,028 outputs
Outputs of similar age
#100,615
of 122,594 outputs
Outputs of similar age from BMC Medical Research Methodology
#2
of 3 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,028 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 122,594 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.