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Mendeley readers
Attention Score in Context
| Title |
Sample size re-assessment leading to a raised sample size does not inflate type I error rate under mild conditions
|
|---|---|
| Published in |
BMC Medical Research Methodology, July 2013
|
| DOI | 10.1186/1471-2288-13-94 |
| Pubmed ID | |
| Authors |
Per Broberg |
| Abstract |
One major concern with adaptive designs, such as the sample size adjustable designs, has been the fear of inflating the type I error rate. In (Stat Med 23:1023-1038, 2004) it is however proven that when observations follow a normal distribution and the interim result show promise, meaning that the conditional power exceeds 50%, type I error rate is protected. This bound and the distributional assumptions may seem to impose undesirable restrictions on the use of these designs. In (Stat Med 30:3267-3284, 2011) the possibility of going below 50% is explored and a region that permits an increased sample size without inflation is defined in terms of the conditional power at the interim. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Belgium | 1 | 3% |
| Unknown | 27 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 31% |
| Student > Ph. D. Student | 7 | 24% |
| Other | 5 | 17% |
| Professor > Associate Professor | 2 | 7% |
| Student > Bachelor | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 5 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 7 | 24% |
| Medicine and Dentistry | 6 | 21% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 7% |
| Psychology | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 10 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 27 July 2013.
All research outputs
#18,342,133
of 22,715,151 outputs
Outputs from BMC Medical Research Methodology
#1,728
of 2,003 outputs
Outputs of similar age
#147,477
of 196,949 outputs
Outputs of similar age from BMC Medical Research Methodology
#21
of 24 outputs
Altmetric has tracked 22,715,151 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,003 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 6th percentile – i.e., 6% 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 196,949 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.