Validating the bland altman method of agreement holiday dating coupons

17-May-2017 03:07

This paper is reproduced by kind permission of the Lancet, where it first appeared as: Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. It was reprinted with a small numerical correction (included in this version) by Biochimica Clinica, as: Bland JM, Altman DG. Statistical methods for assessing agreement between measurement. In 1992 it was declared a citation classic by the Institute for Scientific Information, due to the large number of citations which it had accrued, together with those for an earlier related paper: Altman DG, Bland JM. Measurement in medicine: the analysis of method comparison studies. The citation classic report was published as: Bland JM, Altman DG.

(1992) This week's citation classic: Comparing methods of clinical measurement. As of 13th January 2004, the paper had been cited 8,336 times, according to the Web of Science.

When data is appropriate, Bland-Altman plot can be a handy tool to use.

The basic concept of Bland-Altman s approach is the visualization of the difference of the measurements made by the two methods, then plotting the differences (diff) or the bias (Y-axis) versus the mean (mean) of the two readings (X-axis).Validating the Bland-Altman Method of Agreement Ryan Fernandez, University of Nevada-Las Vegas George Fernandez, University of Nevada-Reno ABSTRACT Bland-Altman s analysis and plot are the most common methods used to assess the relative agreement between two analytical methods that measure the continuous variables measured on the same scale.Many agreement studies have shown that using the t-test or the Pearson s product-moment correlation is flawed when measuring the agreement or detecting the bias.Bland and Altman plots are extensively used to evaluate the agreement among two different instruments or two measurements techniques.Bland and Altman plots allow identification of any systematic difference between the measurements (i.e., fixed bias) or possible outliers.

The basic concept of Bland-Altman s approach is the visualization of the difference of the measurements made by the two methods, then plotting the differences (diff) or the bias (Y-axis) versus the mean (mean) of the two readings (X-axis).

Validating the Bland-Altman Method of Agreement Ryan Fernandez, University of Nevada-Las Vegas George Fernandez, University of Nevada-Reno ABSTRACT Bland-Altman s analysis and plot are the most common methods used to assess the relative agreement between two analytical methods that measure the continuous variables measured on the same scale.

Many agreement studies have shown that using the t-test or the Pearson s product-moment correlation is flawed when measuring the agreement or detecting the bias.

Bland and Altman plots are extensively used to evaluate the agreement among two different instruments or two measurements techniques.

Bland and Altman plots allow identification of any systematic difference between the measurements (i.e., fixed bias) or possible outliers.

If there is no relationship between the differences and the averages, the agreement between the two methods may be summarized using the means and standard deviations test methods.