000			02413nam a2200373 i 4500
001			CR9781139025751
003			UkCbUP
005			20240905135106.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			110218s2015||||enk o ||1 0|eng|d
020			_a9781139025751 (ebook)
020			_z9780521885881 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aH62 _b.I537 2015
082	0	0	_a519.5/4 _223
100	1		_aImbens, Guido, _eauthor.
245	1	0	_aCausal inference for statistics, social, and biomedical sciences : _ban introduction / _cGuido W. Imbens, Stanford University, Donald B. Rubin, Harvard University.
246	3		_aCausal Inference for Statistics, Social, & Biomedical Sciences
264		1	_aCambridge : _bCambridge University Press, _c2015.
300			_a1 online resource (xix, 625 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520			_aMost questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with the notion of potential outcomes, each corresponding to the outcome that would be realized if a subject were exposed to a particular treatment or regime. In this approach, causal effects are comparisons of such potential outcomes. The fundamental problem of causal inference is that we can only observe one of the potential outcomes for a particular subject. The authors discuss how randomized experiments allow us to assess causal effects and then turn to observational studies. They lay out the assumptions needed for causal inference and describe the leading analysis methods, including matching, propensity-score methods, and instrumental variables. Many detailed applications are included, with special focus on practical aspects for the empirical researcher.
650		0	_aSocial sciences _xResearch.
650		0	_aCausation.
650		0	_aInference.
700	1		_aRubin, Donald B., _eauthor.
776	0	8	_iPrint version: _z9780521885881
856	4	0	_uhttps://doi.org/10.1017/CBO9781139025751
942			_2ddc _cEB
999			_c9549 _d9549