000			03010nam a22004455i 4500
001			978-1-4614-0562-7
003			DE-He213
005			20140220083239.0
007			cr nn 008mamaa
008			121030s2012 xxu| s |||| 0|eng d
020			_a9781461405627 _9978-1-4614-0562-7
024	7		_a10.1007/978-1-4614-0562-7 _2doi
050		4	_aQA276-280
072		7	_aPBT _2bicssc
072		7	_aMAT029000 _2bisacsh
082	0	4	_a519.5 _223
100	1		_aLin, Lawrence. _eauthor.
245	1	0	_aStatistical Tools for Measuring Agreement _h[electronic resource] / _cby Lawrence Lin, A. S. Hedayat, Wenting Wu.
250			_a1.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2012.
300			_aXVI, 161 p. 32 illus., 4 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aIntroduction -- Continuous Data -- Categorical Data -- Sample Size and Power -- A Unified Model for Coninutous and Categorical Data -- A Comparative Model for Continuous and Categorical Data -- Workshop.
520			_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.
650		0	_aStatistics.
650		0	_aMathematical statistics.
650	1	4	_aStatistics.
650	2	4	_aStatistical Theory and Methods.
700	1		_aHedayat, A. S. _eauthor.
700	1		_aWu, Wenting. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781461405610
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4614-0562-7
912			_aZDB-2-SMA
999			_c100875 _d100875