000			03396cam a2200493M 4500
001			9780429259753
003			FlBoTFG
005			20240213122829.0
006			m d
007			cr |||||||||||
008			210514s2021 flu o ||| 0 eng d
040			_aOCoLC-P _beng _cOCoLC-P
020			_a0429521928 _q(electronic bk.)
020			_a9780429521928 _q(electronic bk.)
020			_a9780429259753 _q(electronic bk.)
020			_a0429259751 _q(electronic bk.)
020			_a9780429550096 _q(electronic bk. : Mobipocket)
020			_a042955009X _q(electronic bk. : Mobipocket)
020			_a9780429535390 _q(electronic bk. : EPUB)
020			_a0429535392 _q(electronic bk. : EPUB)
035			_a(OCoLC)1250475075
035			_a(OCoLC-P)1250475075
050		4	_aRM301.27
072		7	_aMED _x090000 _2bisacsh
072		7	_aMED _x071000 _2bisacsh
072		7	_aPBT _2bicssc
082	0	4	_a615.1072/4 _223
100	1		_aTiwari, Ram _q(Ram C.), _eauthor.
245	1	0	_aSIGNAL DETECTION FOR MEDICAL SCIENTISTS; _bLIKELIHOOD RATIO TEST-BASED METHODOLOGY _h[electronic resource].
260			_aBOCA RATON : _bCHAPMAN & HALL CRC, _c2021.
300			_a1 online resource
520			_aSignal Detection for Medical Scientists: Likelihood Ratio Based Test-Based Methodology presents the data mining techniques with focus on likelihood ratio test (LRT) based methods for signal detection. It emphasizes computational aspect of LRT methodology and is pertinent for first-time researchers and graduate students venturing into this interesting field. The book is written as a reference book for professionals in pharmaceutical industry, manufactures of medical devices, and regulatory agencies. The book deals with the signal detection in drug/device evaluation, which is important in the post-market evaluation of medical products, and in the pre-market signal detection during clinical trials for monitoring procedures. It should also appeal to academic researchers, and faculty members in mathematics, statistics, biostatistics, data science, pharmacology, engineering, epidemiology, and public health. Therefore, this book is well suited for both research and teaching. Key Features: Includes a balanced discussion of art of data structure, issues in signal detection, statistical methods and analytics, and implementation of the methods. Provides a comprehensive summary of the LRT methods for signal detection including the basic theory and extensions for varying datasets that may be large post-market data or pre-market clinical trial data. Contains details of scientific background, statistical methods, and associated algorithms that a reader can quickly master the materials and apply methods in the book on one's own problems
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aDrugs _xTesting _xStatistical methods.
650		0	_aSignal detection _xStatistical methods.
650		0	_aStatistical hypothesis testing.
650		0	_aData mining _xStatistical methods.
650		7	_aMEDICAL / Biostatistics _2bisacsh
650		7	_aMEDICAL / Pharmacology _2bisacsh
700	1		_aZalkikar, Jyoti, _eauthor.
700	1		_aHuang, Lan _c(Statistician), _eauthor.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9780429259753
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c5461 _d5461