Oxford handbook of medical statistics / Janet L. Peacock, Philip J. Peacock.

By:

Peacock, Janet (Janet L.)

Contributor(s):

Peacock, Philip J

Material type: Text

TextSeries: Oxford medical publications | Oxford handbooksPublication details: Oxford : Oxford University Press, 2011.Description: xix, 517 pages. : ill. ; 19 cmISBN:

9780199551286
0199551286 (alk. paper)

Other title:

Handbook of medical statistics [Other title]

Subject(s):

DDC classification:

610.72 PEA

Contents:

Research design -- Collecting data -- Handling the data : what steps are important -- Presenting research findings -- Choosing and using statistical software for analysing data -- Summarizing data -- Probability and distributions -- Statistical tests -- Diagnostic studies -- Other statistical methods -- Analysing multiple observations per subject -- Analysing multiple variables per subject -- Meta-analysis -- Bayesian statistics.

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Standard Loan	Moylish Library Main Collection	610.72 PEA (Browse shelf(Opens below))	1	Available		39002100478529

Enhanced descriptions from Syndetics:

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 multifactor 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.

Includes bibliographical references and index.

Table of contents provided by Syndetics

1 Research design
2 Collecting data
3 Handling the data: what steps are important
4 Presenting research findings
5 Choosing and using statistical software for analysing data
6 Summarising data
7 Probability and distributions
8 Statistical tests
9 Diagnostic studies
10 Other statistical methods
11 Analysing multiple observations per subject
12 Analysing multiple variables per subject
13 Meta-analysis
14 Bayesian statistics
15 Glossary

Author notes provided by Syndetics

Janet Peacock is Professor of Medical Statistics in the Department of Public Health Sciences and Medical Statistics, University of Southampton School of Medicine, where she leads the discipline of Medical Statistics. She previously worked for over 20 years at St George's University of London. There she worked with Martin Bland and Sally Kerry with whom she has co-authored two books, Statistical Questions in Evidence-based Medicine (with Martin Bland) and Presenting Medical Statistics from proposal to publication (with Sally Kerry). She has always been enthusiastic about teaching medical statistics to medical students, doctors, and other health professionals, and is passionate about communicating the subject clearly. During her career to date she has collaborated with a wide range of health professionals in numerous epidemiological studies, randomised controlled trials and meta-analyses. Phil Peacock qualified in medicine at Bristol in 2007 and is currently working as an Academic Clinical Fellow at the University of Bristol alongside specialty training in paediatrics within the Severn Deanery. He has been involved in research projects both as an undergraduate and since qualifying, and has produced several publications. Phil enjoys combining medical research with clinical practice, and is keen to help others understand and get involved with the research process.