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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Parametric versus non-parametric statistics in the analysis of randomized trials with non-normally distributed data
|
|---|---|
| Published in |
BMC Medical Research Methodology, November 2005
|
| DOI | 10.1186/1471-2288-5-35 |
| Pubmed ID | |
| Authors |
Andrew J Vickers |
| Abstract |
It has generally been argued that parametric statistics should not be applied to data with non-normal distributions. Empirical research has demonstrated that Mann-Whitney generally has greater power than the t-test unless data are sampled from the normal. In the case of randomized trials, we are typically interested in how an endpoint, such as blood pressure or pain, changes following treatment. Such trials should be analyzed using ANCOVA, rather than t-test. The objectives of this study were: a) to compare the relative power of Mann-Whitney and ANCOVA; b) to determine whether ANCOVA provides an unbiased estimate for the difference between groups; c) to investigate the distribution of change scores between repeat assessments of a non-normally distributed variable. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 29% |
| Latvia | 1 | 14% |
| Canada | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 453 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 2% |
| United Kingdom | 6 | 1% |
| Spain | 3 | <1% |
| Canada | 3 | <1% |
| Sweden | 2 | <1% |
| Netherlands | 2 | <1% |
| Malaysia | 1 | <1% |
| Germany | 1 | <1% |
| Mexico | 1 | <1% |
| Other | 5 | 1% |
| Unknown | 422 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 81 | 18% |
| Student > Ph. D. Student | 71 | 16% |
| Student > Master | 66 | 15% |
| Student > Bachelor | 37 | 8% |
| Professor | 29 | 6% |
| Other | 105 | 23% |
| Unknown | 64 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 93 | 21% |
| Psychology | 48 | 11% |
| Agricultural and Biological Sciences | 47 | 10% |
| Neuroscience | 18 | 4% |
| Business, Management and Accounting | 16 | 4% |
| Other | 145 | 32% |
| Unknown | 86 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 April 2021.
All research outputs
#5,676,191
of 22,796,179 outputs
Outputs from BMC Medical Research Methodology
#798
of 2,012 outputs
Outputs of similar age
#17,232
of 60,830 outputs
Outputs of similar age from BMC Medical Research Methodology
#2
of 2 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,012 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 60% of its peers.
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 60,830 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.