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Quality of Life: The Assessment, Analysis and Interpretation of Patient-reported Outcomes Description

Quality of life studies form an essential part of the evaluation of any treatment. Written by two authors who are well respected within this field, Quality of Life: The Assessment, Analysis and Interpretation of Patient-reported Outcomes, Second Edition lays down guidelines on assessing, analysing and interpreting quality of life data. The new edition of this standard book has been completely revised, updated and expanded to reflect many methodological developments emerged since the publication of the first edition.

• Covers the design of instruments, the practical aspects of implementing assessment, the analyses of the data, and the interpretation of the results
• Presents all essential information on Quality of Life Research in one comprehensive volume
• Explains the use of qualitative and quantitative methods, including the application of basic statistical methods
• Includes copious practical examples
• Fills a need in a rapidly growing area of interest
• New edition accommodates significant methodological developments, and includes chapters on computer adaptive testing and item banking, choosing an instrument, systematic reviews and meta analysis

This book is of interest for everyone involved in quality of life research, and it is applicable to medical and non-medical, statistical and non-statistical readers. It is of particular relevance for clinical and biomedical researchers within both the pharmaceutical industry and practitioners in the fields of cancer and other chronic diseases.

Reviews of the First Edition – Winner of the first prize in the Basis of Medicine Category of the BMA Medical Book Competition 2001:

“This book is highly recommended to clinicians who are actively involved in the planning, analysis and publication of QoL research." CLINICAL ONCOLOGY

“This book is highly recommended reading."  QUALITY OF LIFE RESEARCH

Interpretation and Uses of Medical Statistics Reviews

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In 1969 the first edition of this book introduced the concepts of statistics and their medical application to readers with no formal training in this area. While retaining this basic aim, the authors have expanded the coverage in each subsequent edition to keep pace with the increasing use and sophistication of statistics in medical research.

This fifth edition has undergone major restructuring, with some sections completely rewritten; it is now more logically organized and more user friendly (with the addition of 'summary boxes' throughout the text). It incorporates new statistical techniques and approaches that have made an appearance since the last edition. In addition, some chapters or chapter headings are specifically marked to signify material that is more difficult than the material in which it is embedded - such sections or chapters can be omitted at first reading.

Several new chapters have been added . "Associations: Chance, Confounded and Causal?" explains without any formulae the concepts underlying confounding, confidence intervals and p values, and the interpretation of associations observed in research investigations. Another new chapter considers sample size calculations in some detail and provides, in addition to the relevant formulae, useful tables that should give the researcher an indication of the order of magnitude of the number of subjects he or she might require in different situations.

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Learn biostatistics the easy way. This outstanding resource presents the key concepts you need to understand biostatistics and how to apply them in clinical medicine. Easy-to-understand examples and analogies explain complex concepts, and practical applications provide you with real tools for use in daily practice. The book’s organization is intuitive, so that concepts build upon one another, maximizing understanding. This book will give you the confidence to appraise the existing literature - and the vocabulary you need to discuss it.

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Hirsch and Riegelman have recognized the need for a text to explain, to a wide audience, statistical concepts rather than mathematics or terminology. They therefore expand on traditional mathematical methods by using graohics illustrating mathematical ideas, working through scores of examples from medical cases and literature, and employing non-technical terminology. Thus, they aim to provide the reader with an understanding of the terminology and mathematics without the rote learning that traditional methods require. The book presents the basic principles of statistics common to all methods of analysis and covers the logical processes used by statisticians to select statistical procedures for a particular set of data. Included is free software (STAT-PLUS) from the authors, and a free teacher's guide contains problems and answers, worked examples, flow charts and statistical tables.

Quality of Life: Assessment, Analysis, and Interpretation Reviews

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Product Name : Quality of Life: Assessment, Analysis, and Interpretation

'Winner of first prize in the Basis of Medicine Category of the BMA Medical Book Competition 2001'

The One Essential Comprehensive Volume on Quality of Life Research. Quality of life studies are now an essential part of the evaluation of any treatment. Written by two authors who are well respected within this field, this book is the first volume to lay down guidelines on assessing, analysing and interpreting quality of life data.

Quality of Life: Assessment, Analysis and Interpretation

• Covers development of questionnaires through to analysis of studies
• Includes practical examples
• Fills a need in a rapidly growing area of interest
• Has a clear structure and consistent approach to the material covered

This book is aimed at everyone involved in quality of life and is applicable to medical and non-medical, statistical and non-statistical readers. It is of particular relevance for clinical and biomedical researchers within both the pharmaceutical industry and practitioners in the fields of cancer and other chronic diseases. 

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Product Description : Quality of Life: Assessment, Analysis, and Interpretation

***Why don't we show the price?
Because our price may lower than the manufacturer suggested retail price, the manufacturer does not allow us to show you our price until you click to see price
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