000			03939cam a2200505 i 4500
999			_c92824 _d92824
005			20250916093446.0
006			m o d
007			cr cnu---unuuu
008			250916t20242024njum ob u001 0 eng
020			_a9781119799979
020			_a9781119800002 _qelectronic book
020			_a1119800005 _qelectronic book
020			_a1119799988 _qelectronic book
020			_a9781119799993 _qelectronic book
020			_a1119799996 _qelectronic book
020			_a9781119799986 _q(electronic bk.)
020			_z9781119799979 _qpaperback
035			_a(OCoLC)1394905924
040			_aDLC _beng _erda _cDLC _dYDX _dDG1 _dN$T
041			_aeng
042			_apcc
050	0	4	_aR853.A53 _bR49 2024
060	0	0	_aW 20.55.A5
082	0	0	_a616.02/7 _223/eng/20230821
100	1		_aReynolds, Penny S., _0https://id.loc.gov/authorities/names/n2023181682 _eauthor.
245	1	2	_aA guide to sample size for animal-based studies / _cPenny S. Reynolds.
264		1	_aHoboken, NJ : _bWiley-Blackwell _c2024.
264		4	_c©2024.
300			_a1 online resource (280 pages) : _billustrations (some color)
336			_atext _btxt _2rdacontent.
337			_acomputer _bc _2rdamedia.
338			_aonline resource _bcr _2rdacarrier.
340			_2rdacc _0http://rdaregistry.info/termList/RDAColourContent/1003.
504			_aIncludes bibliographical references and index.
505	0		_aIntroduction : The sample size problem in animal-based research -- Sample size basics -- Ten strategies to increase information (and reduce animal numbers) -- Introduction to pilot studies -- Operational pilots -- Empirical and translational pilots -- Feasibility calculations : Arithmetic estimation -- Feasibility calculations : Probability-based estimation -- Introduction to descriptive studies -- Confidence intervals -- Prediction intervals -- Tolerance intervals -- Reference intervals -- Hypothesis testing, power, non-centrality -- A bestiary of effect sizes -- Comparing two groups : Continuous outcomes -- Comparing two groups : Binary and count outcomes -- Comparing two groups : Time to event outcomes -- Comparing multiple factors -- Multi-level and hierarchical designs -- Ordinal data -- Dose-response studies.
520			_a"How large a sample size do I need for my study"? Although one of the most commonly-asked questions in statistics, the importance of proper sample size estimation seems to be overlooked by many preclinical researchers. Over the past two decades, numerous reviews of the published literature indicate many studies are too small to answer the research question and results are too unreliable to be trusted. Few published studies present adequate justification of their chosen sample sizes, or even report the total number of animals used. On the other hand, it is not unusual for protocols (usually those involving mouse models) to request preposterous numbers of animals, sometimes in the tens or even hundreds of thousands, "because this is an exploratory study, so it is unknown how many animals we will require"-- _cProvided by publisher.
545	0		_aAbout the Author Penny S. Reynolds, PhD, is a Research Assistant Professor in the Department of Anesthesiology, College of Medicine, and Department of Small Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, USA.
650		0	_aAnimal experimentation _0https://id.loc.gov/authorities/subjects/sh85005173 _xMethods. _0https://id.loc.gov/authorities/subjects/sh2006007982.
650		0	_aResearch _xMethodology. _0https://id.loc.gov/authorities/subjects/sh2002009792.
650	1	2	_aAnimal Experimentation. _0https://id.nlm.nih.gov/mesh/D032761.
650	2	2	_aSample Size. _0https://id.nlm.nih.gov/mesh/D018401.
655		4	_aElectronic books.
856			_uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119800002 _yFull text is available at Wiley Online Library Click here to view
942			_2ddc _cER