000 | 01255 a2200205 4500 | ||
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005 | 20220513145011.0 | ||
008 | 210722b ||||| |||| 00| 0 eng d | ||
020 | _a9780471499756 | ||
082 |
_aW20.55.A5 _bSPI |
||
100 |
_aSpiegelhalter, David J. _932270 |
||
245 | _aBayesian approaches to clinical trials and health care evaluation | ||
260 |
_aEngland: _bJohn Wiley and Sons Ltd., _c2004. |
||
300 |
_axiv, 391p. : _c18 cm. |
||
440 |
_aStatistics in Practice _933380 |
||
520 | _a The Bayesian approach involves collecting data from past experience in order to reach conclusions about future events. Bayesian methods have become increasingly popular in recent years, notably in medical research. There are a large number of books on Bayesian analysis, but very few that cover clinical trials and biostatistical applications in any capacity. There is no book available that is introductory in nature and covers such a broad array of essential topics. | ||
650 |
_aBayesian statistical decision theory, _aMedicine--Research--Statistical methods, _aClinical trials--Statistical methods, _aMedical care surveys, _aClinical trials _932984 |
||
700 |
_aAbrams, Keith R. _933378 |
||
700 |
_aMyles, Jonathan P. _933379 |
||
942 | _cIM | ||
999 |
_c186597 _d186597 |