Clinical Biostatistics: An Introduction to Evidence-Based Medicine / Edition 1

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Former Library book. Shows some signs of wear, and may have some markings on the inside. 100% Money Back Guarantee. Shipped to over one million happy customers. Your purchase ... benefits world literacy! Read more Show Less

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Overview


This text may be read with profit by 'students' at any stage of their clinical careers. The authors have made no assumptions about any prior expertise in either statistics or medicine. The technical discussions of all the clinical problems have been kept at a level that can be understood by the lay person, and it is hoped that even non-clinicians (such as patients or others involved in the health service) will find the contents of interest.
As an increasing number of medical schools transfer to a problem-based curriculum, in which clinical trials and basic science are learnt in an integrated manner, there is clearly a need for a biostatistics text which is also motivated by clinical problems. Clinical Biostatistics has been written in response to this need. In the traditional medical curriculum great stress has been placed on the acquisition of knowledge, and to some extent skills, with little attention being paid to attitudes. This text, however, concentrates on influencing students' attitudes towards the use of evidence and the appropriate and valid use of statistical inference in clinical medicine. Thus, by using this book students will acquire skills that are useful both for the analysis of their own data (in projects for example) and also for the clinical appraisal of the work of others. In contrast, little attention is paid to the mere learning of statistical formulae.

The book contains black-and-white illustrations.

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Product Details

  • ISBN-13: 9780470249901
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 7/4/1995
  • Edition number: 1
  • Pages: 152
  • Product dimensions: 6.11 (w) x 9.11 (h) x 0.36 (d)

Table of Contents

Preface
1 Clinical Problems and Statistical Solutions 1
2 Diagnosis, Probability and Sampling 11
3 The Variability of Clinical Measurements 35
4 Sampling and Estimation 67
5 The Search for Associations 101
6 Treatment Trials 117
Postscript: Hypothesis Testing and P-values 141
References 145
Index 151
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