Oxford Handbook of Medical Statistics

To practice evidence-based medicine, doctors need to understand how research is conducted and be able to critically appraise research evidence. A sound understanding of medical statistics is essential for the correct evaluation of medical research and the appropriate implementation of findings in clinical practice. Written in an easily accessible style, the Oxford Handbook of Medical Statistics provides doctors and medical students with a concise and thorough account of this often difficult subject. It promotes understanding and interpretation of statistical methods across a wide range of topics, from study design and sample size considerations, through t- and chi-squared tests, to complex multifactorial analyses, using examples from published research. References for further reading are given for more information on specific topics. Helping readers to conduct their own research or critically appraise other's work, this volume provides all the information readers need to understand and interpret medical statistics.

ISBN 0199551286   Pages 544 ISBN13 9780199551286 (What's this?)   Weight (grammes) 282 Publisher Oxford University Press   Published in Oxford Imprint Oxford University Press   Series title Oxford Medical Handbooks Format Paperback   Height (mm) 181 Publication date 04 Nov 2010   Width (mm) 108 DEWEY 610.72   Spine width (mm) 24 DEWEY edition DC22   Academic level Undergraduate, Professional / Scholarly

		Symbols
1		Research design		1
		Introduction		2
		Introduction to research		3
		Research questions		4
		Interventional studies		6
		Randomized controlled trials		8
		Randomization in RCTs		10
		Patient consent in research studies		12
		Blinding in RCTs		14
		RCTs: parallel groups and crossover designs		16
		Zelen randomized consent design		18
		Superiority and equivalence trials		20
		Intention to treat analysis		22
		Case---control studies		24
		Cohort studies		28
		Cross-sectional studies		32
		Case study and series		34
		Deducing causal effects		36
		Designing an audit		38
		Data collection in audit		40
		Research versus audit		41
		Data collection: sources of data		42
		Data collection: outcomes		44
		Outcomes: continuous and categorical		46
		Collecting additional data		50
		The study protocol		52
		Sampling strategies		54
		Choosing a sample size		56
		Sample size for estimation studies: means		58
		Sample size for estimation studies: proportions		60
		More...

 Be the first to write a customer review