| Title |
Statistical Methods Used to Test for Agreement of Medical Instruments Measuring Continuous Variables in Method Comparison Studies: A Systematic Review
|
|---|---|
| Published in |
PLOS ONE, May 2012
|
| DOI | 10.1371/journal.pone.0037908 |
| Pubmed ID | |
| Authors |
Rafdzah Zaki, Awang Bulgiba, Roshidi Ismail, Noor Azina Ismail |
| Abstract |
Accurate values are a must in medicine. An important parameter in determining the quality of a medical instrument is agreement with a gold standard. Various statistical methods have been used to test for agreement. Some of these methods have been shown to be inappropriate. This can result in misleading conclusions about the validity of an instrument. The Bland-Altman method is the most popular method judging by the many citations of the article proposing this method. However, the number of citations does not necessarily mean that this method has been applied in agreement research. No previous study has been conducted to look into this. This is the first systematic review to identify statistical methods used to test for agreement of medical instruments. The proportion of various statistical methods found in this review will also reflect the proportion of medical instruments that have been validated using those particular methods in current clinical practice. |
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 States | 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 377 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 1% |
| Canada | 2 | <1% |
| Spain | 2 | <1% |
| United States | 2 | <1% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| India | 1 | <1% |
| Finland | 1 | <1% |
| Chile | 1 | <1% |
| Other | 4 | 1% |
| Unknown | 358 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 80 | 21% |
| Student > Master | 52 | 14% |
| Researcher | 51 | 14% |
| Student > Bachelor | 29 | 8% |
| Student > Doctoral Student | 23 | 6% |
| Other | 80 | 21% |
| Unknown | 62 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 107 | 28% |
| Engineering | 36 | 10% |
| Agricultural and Biological Sciences | 32 | 8% |
| Sports and Recreations | 20 | 5% |
| Nursing and Health Professions | 15 | 4% |
| Other | 75 | 20% |
| Unknown | 92 | 24% |