|
|
|
|
LEADER |
00000nam a22000005i 4500 |
001 |
978-1-4614-0562-7 |
003 |
DE-He213 |
005 |
20220118233925.0 |
007 |
cr nn 008mamaa |
008 |
121030s2012 xxu| s |||| 0|eng d |
020 |
|
|
|a 9781461405627
|9 978-1-4614-0562-7
|
024 |
7 |
|
|a 10.1007/978-1-4614-0562-7
|2 doi
|
050 |
|
4 |
|a QA276-280
|
072 |
|
7 |
|a PBT
|2 bicssc
|
072 |
|
7 |
|a MAT029000
|2 bisacsh
|
072 |
|
7 |
|a PBT
|2 thema
|
082 |
0 |
4 |
|a 519.5
|2 23
|
100 |
1 |
|
|a Lin, Lawrence.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
|
245 |
1 |
0 |
|a Statistical Tools for Measuring Agreement
|h [electronic resource] /
|c by Lawrence Lin, A. S. Hedayat, Wenting Wu.
|
250 |
|
|
|a 1st ed. 2012.
|
264 |
|
1 |
|a New York, NY :
|b Springer New York :
|b Imprint: Springer,
|c 2012.
|
300 |
|
|
|a XVI, 161 p.
|b online resource.
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
347 |
|
|
|a text file
|b PDF
|2 rda
|
505 |
0 |
|
|a Introduction -- 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 |
|
|
|a 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.
|
650 |
|
0 |
|a Statistics .
|
650 |
1 |
4 |
|a Statistical Theory and Methods.
|
700 |
1 |
|
|a Hedayat, A. S.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
|
700 |
1 |
|
|a Wu, Wenting.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
|
710 |
2 |
|
|a SpringerLink (Online service)
|
773 |
0 |
|
|t Springer Nature eBook
|
776 |
0 |
8 |
|i Printed edition:
|z 9781461405610
|
776 |
0 |
8 |
|i Printed edition:
|z 9781461405634
|
776 |
0 |
8 |
|i Printed edition:
|z 9781489989642
|
856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/978-1-4614-0562-7
|z Texto Completo
|
912 |
|
|
|a ZDB-2-SMA
|
912 |
|
|
|a ZDB-2-SXMS
|
950 |
|
|
|a Mathematics and Statistics (SpringerNature-11649)
|
950 |
|
|
|a Mathematics and Statistics (R0) (SpringerNature-43713)
|