Clinical agreement in quantitative measurements.
dc.contributor.author | Indrayan, A | en_US |
dc.contributor.author | Chawla, R | en_US |
dc.date.accessioned | 1994-09-01 | en_US |
dc.date.accessioned | 2009-06-03T06:55:50Z | |
dc.date.available | 1994-09-01 | en_US |
dc.date.available | 2009-06-03T06:55:50Z | |
dc.date.issued | 1994-09-01 | en_US |
dc.description.abstract | With advances in medical technology, simpler and safer methods for diagnosis and therapy are increasingly replacing the old ones and it has become important that these be correctly assessed. When a measurement by a new method is the same as that using the old method, one frequently encounters the problem of assessing the agreement. Evidence such as a correlation equal to 1 or equality of means is known to be inadequate. However, two recent approaches--limits of agreement and intraclass correlation coefficient--have gained acceptance but each has its own merits and demerits. To help investigators choose a procedure which is appropriate and to help them use it properly, we provide a description of these two approaches and discuss their advantages and disadvantages, both clinical and statistical, using a real example. | en_US |
dc.description.affiliation | Department of Biostatistics, University College of Medical Sciences, New Delhi, India. | en_US |
dc.identifier.citation | Indrayan A, Chawla R. Clinical agreement in quantitative measurements. National Medical Journal of India. 1994 Sep-Oct; 7(5): 229-34 | en_US |
dc.identifier.uri | https://imsear.searo.who.int/handle/123456789/119373 | |
dc.language.iso | eng | en_US |
dc.source.uri | https://www.nmji.in | en_US |
dc.subject.mesh | Analysis of Variance | en_US |
dc.subject.mesh | Models, Statistical | en_US |
dc.subject.mesh | Research --methods | en_US |
dc.subject.mesh | Statistics as Topic | en_US |
dc.title | Clinical agreement in quantitative measurements. | en_US |
dc.type | Journal Article | en_US |
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