000			01695 a2200301 4500
005			20260313173237.0
020			_a9780367456856 _q(hardback)
020			_a9781032219844 _q(paperback)
020			_z9781003033691 _q(ebook)
050	0	0	_aQA279 _b.T283 2022
082	0	0	_aE 519.57 T112 2022 _223/eng/20211130
100	1		_aTaback, Nathan, _eauthor.
245	1	0	_aIntroduction to design and analysis of scientific studies / _cNathan Taback.
250			_aFirst edition.
264		1	_aBoca Raton : _bCRC Press, _c2022.
300			_apages cm.
490	0		_aChapman & Hall/CRC texts in statistical science
504			_aIncludes bibliographical references and index.
520			_a"This book exposes undergraduate and graduate students to the foundations of classical experimental design and observational studies through a modern framework - The Rubin Causal Model. A causal inference framework is important in design, data collection and analysis since it provides a framework for investigators to readily evaluate study limitations and draw appropriate conclusions. R is used to implement designs and analyse the data collected"-- _cProvided by publisher.
526			_aE
650		0	_aExperimental design.
650		0	_aResearch _xStatistical methods.
776	0	8	_iOnline version: _aTaback, Nathan. _tIntroduction to design and analysis of scientific studies _bFirst edition. _dBoca Raton : CRC Press, 2022 _z9781003033691 _w(DLC) 2021048077
856			_uhttps://drive.google.com/file/d/18LGHwWKUAtRFpyTMkY6qn5B-DhHzeX7a/view?usp=sharing
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cEB
999			_c40702 _d40702