000			02788cam a2200289 i 4500
001			ocn914394540
003			OCoLC
007			ta
008			210206s2015 enka b 001 0 eng d
020			_a9780199589920
020			_a0199589925
035			_a(OCoLC)914394540
060			_aWA950 _b.B575 2015
100	1		_aBland, Martin.
245	1	3	_aAn introduction to medical statistics / _cMartin Bland.
250			_a4th ed.
260			_aOxford : _bOxford University Press, _c2015.
300			_axviii, 427 p. : _bill.
490	1		_aOxford medical publications
504			_aIncludes bibliographical references and index.
505	0		_aChapter 1 Introduction -- Chapter 2 The design of experiments -- Chapter 3 Sampling and observational studies -- Chapter 4 Summarizing data -- Chapter 5 Presenting data -- Chapter 6 Probability -- Chapter 7 The Normal distribution -- Chapter 8 Estimation -- Chapter 9 Significance tests -- Chapter 10 Comparing the means of small samples -- Chapter 11 Regression and correlation -- Chapter 12 Methods based on rank order -- Chapter 13 The analysis of cross-tabulations -- Chapter 14 Choosing the statistical method -- Chapter 15 Multifactorial methods -- Chapter 16 Time to event data -- Chapter 17 Meta-analysis -- Chapter 18 Determination of sample size -- Chapter 19 Missing data -- Chapter 20 Clinical measurement -- Chapter 21 Mortality statistics and population structure -- Chapter 22 The Bayesian approach.
520			_aNow in its Fourth Edition, An Introduction to Medical Statistics continues to be a 'must-have' textbook for anyone who needs a clear logical guide to the subject. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the statistical principles used in the medical literature. --- Taking readers through the common statistical methods seen in published research and guidelines, the text focuses on how to interpret and analyse statistics for clinical practice. Using extracts from real studies, the author illustrates how data can be employed correctly and incorrectly in medical research helping readers to evaluate the statistics they encounter and appropriately implement findings in clinical practice. --- Exercises, case studies, and multiple choice questions help readers to apply their learning and develop their own interpretative skills. This thoroughly revised edition includes new chapters on meta-analysis, missing data, and survival analysis. --- An ideal text for medical students at undergraduate and postgraduate level, doctors, medical researchers, and healthcare professionals, as well as all those concerned with medical data.
650		4	_aMedical statistics.
650		4	_aBiometry.
830		0	_aOxford medical publications.
942			_2nlm _cBK
999			_c279 _d279