Statistical Tools for Measuring Agreement Statistical Tools for Measuring Agreement

Statistical Tools for Measuring Agreement

Lawrence Lin et autres
    • 42,99 €
    • 42,99 €

Description de l’éditeur

Agreement assessment techniques are widely used in examining the acceptability of a new or generic process, methodology and/or formulation in areas of lab performance, instrument/assay validation or method comparisons, statistical process control, goodness-of-fit, and individual bioequivalence. Successful applications in these situations require a sound understanding of both the underlying theory and methodological advances in handling real-life problems. This book seeks to effectively blend theory and applications while presenting readers with many practical examples. For instance, in the medical device environment, it is important to know if the newly established lab can reproduce the instrument/assay results from the established but outdating lab.  When there is a disagreement, it is important to differentiate the sources of disagreement.  In addition to agreement coefficients, accuracy and precision coefficients are introduced and utilized to characterize these sources.

This book will appeal to a broad range of statisticians, researchers, practitioners and students, in areas of biomedical devices, psychology, medical research, and others, in which agreement assessment are needed. Many practical illustrative examples will be presented throughout the book in a wide variety of situations for continuous and categorical data.

GENRE
Science et nature
SORTIE
2012
30 octobre
LANGUE
EN
Anglais
LONGUEUR
177
Pages
ÉDITIONS
Springer New York
DÉTAILS DU FOURNISSEUR
Springer Science & Business Media LLC
TAILLE
2,7
Mo
An Introduction to Bartlett Correction and Bias Reduction An Introduction to Bartlett Correction and Bias Reduction
2014
Statistical Analysis of Ecotoxicity Studies Statistical Analysis of Ecotoxicity Studies
2018
Frontiers of Statistical Decision Making and Bayesian Analysis Frontiers of Statistical Decision Making and Bayesian Analysis
2010
Multiple Comparisons, Selection and Applications in Biometry Multiple Comparisons, Selection and Applications in Biometry
2021
Bayesian Regression Modeling with INLA Bayesian Regression Modeling with INLA
2018
Introduction to Statistical Modelling and Inference Introduction to Statistical Modelling and Inference
2022