Title |
Sample size calculations in clinical research should also be based on ethical principles
|
---|---|
Published in |
Trials, March 2016
|
DOI | 10.1186/s13063-016-1277-5 |
Pubmed ID | |
Authors |
Bruno Mario Cesana, Paolo Antonelli |
Abstract |
Sample size calculations based on too narrow a width, or with lower and upper confidence limits bounded by fixed cut-off points, not only increase power-based sample sizes to ethically unacceptable levels (thus making research practically unfeasible) but also greatly increase the costs and burdens of clinical trials. We propose an alternative method of combining the power of a statistical test and the probability of obtaining adequate precision (the power of the confidence interval) with an acceptable increase in power-based sample sizes. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 10% |
Cameroon | 1 | 10% |
Belgium | 1 | 10% |
Ecuador | 1 | 10% |
Unknown | 6 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 70% |
Practitioners (doctors, other healthcare professionals) | 3 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 21% |
Student > Master | 5 | 21% |
Professor | 3 | 13% |
Student > Ph. D. Student | 2 | 8% |
Student > Postgraduate | 2 | 8% |
Other | 4 | 17% |
Unknown | 3 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 6 | 25% |
Biochemistry, Genetics and Molecular Biology | 2 | 8% |
Nursing and Health Professions | 2 | 8% |
Psychology | 2 | 8% |
Engineering | 2 | 8% |
Other | 5 | 21% |
Unknown | 5 | 21% |