000			02216nam a2200301| 4500
001			83968
005			20220110130808.0
010			_a978-1-4614-0562-7 _dcompra
090			_a83968
100			_a20190128d2012 k||y0pory50 ba
101			_aeng
102			_aUS
200			_aStatistical tools for measuring agreement _bDocumento eletrn̤ico _fLawrence Lin, A. S. Hedayat, Wenting Wu
210			_aNew York, NY _cSpringer _d2012
215			_aXVI, 161 p.
300			_aColocaȯ̂: Online
303			_aAgreement 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.
606			_91379 _aEstats̕tica matemt̀ica
680			_aQA276
700			_933408 _aLin _bLawrence
701			_933409 _aHedayat _bA. S. _4070
701			_aWu _bWenting _4070 _933410
801			_gRPC _aPT
856			_uhttps://doi.org/10.1007/978-1-4614-0562-7
942			_2lcc _cF _n0