| 000 | 01066nam a2200193 4500 | ||
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| 005 | 20260115144543.0 | ||
| 008 | 260115b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9780521885881 | ||
| 037 | _cTextual | ||
| 040 |
_aRTL _cRTL |
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| 084 | _qRTL | ||
| 100 |
_aImbens, Guido W. _9875935 |
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| 245 | _aCausal inference for statistics, social, and biomedical sciences: An introduction | ||
| 260 |
_aNew York _bCambridge University Press _c2015 |
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| 300 |
_axix, 625 p. _bIncludes bibliographical reference and index |
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| 520 | _aost 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. | ||
| 700 |
_aRubin, Donald B. _eCo-author _9875936 |
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| 942 |
_2CC _n0 _cTEXL |
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| 999 |
_c1474578 _d1474578 |
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