In studies designed to compare different methods of measurement where more than two methods are compared or replicate measurements by each method are available, standard statistical approaches such as computation of limits of agreement are not directly applicable. A model is presented for comparing several methods of measurement in the situation where replicate measurements by each method are available. Measurements are viewed as classified by method, subject and replicate. Models assuming exchangeable as well as non-exchangeable replicates are considered. A fitting algorithm is presented that allows the estimation of linear relationships between methods as well as relevant variance components. The algorithm only uses methods already implem...
Analytical laboratories continuously assess the uncertainties and reliability of their measurement s...
Summary: The structural relationship model is recommended for the comparison of analytical methods i...
Before new tests are implemented, it is important to compare their results with those of other measu...
Method comparison studies are usually analyzed by computing limits of agreement. It is recommended t...
Background. Assessing agreement in method comparison studies depends on two fundamentally important ...
In clinical measurement comparison of a new measurement technique with an established one is often n...
Methods for the meta-analysis of results from randomized controlled trials are well established. How...
Recently, a new estimation procedure has been developed to assess bias and precision of a new measur...
The comparison of two methods of measurement or instruments is addressed from a statistical point of...
AbstractThe correct approach to analyzing method agreement is discussed. Whether we are considering ...
Analysis of variance is a popular and important method to evaluate the experimental results. In case...
Current methods to compare measurement series are based on the comparison of multiple measurement po...
1. The purpose of comparing two methods of measurement of a continuous biological variable is to unc...
Bland and Altman's limits of agreement have been used in many clinical research settings to assess a...
Background: The within-subject coefficient of variation and intra-class correlation coefficient are ...
Analytical laboratories continuously assess the uncertainties and reliability of their measurement s...
Summary: The structural relationship model is recommended for the comparison of analytical methods i...
Before new tests are implemented, it is important to compare their results with those of other measu...
Method comparison studies are usually analyzed by computing limits of agreement. It is recommended t...
Background. Assessing agreement in method comparison studies depends on two fundamentally important ...
In clinical measurement comparison of a new measurement technique with an established one is often n...
Methods for the meta-analysis of results from randomized controlled trials are well established. How...
Recently, a new estimation procedure has been developed to assess bias and precision of a new measur...
The comparison of two methods of measurement or instruments is addressed from a statistical point of...
AbstractThe correct approach to analyzing method agreement is discussed. Whether we are considering ...
Analysis of variance is a popular and important method to evaluate the experimental results. In case...
Current methods to compare measurement series are based on the comparison of multiple measurement po...
1. The purpose of comparing two methods of measurement of a continuous biological variable is to unc...
Bland and Altman's limits of agreement have been used in many clinical research settings to assess a...
Background: The within-subject coefficient of variation and intra-class correlation coefficient are ...
Analytical laboratories continuously assess the uncertainties and reliability of their measurement s...
Summary: The structural relationship model is recommended for the comparison of analytical methods i...
Before new tests are implemented, it is important to compare their results with those of other measu...