STATISTICAL ISSUES IN DRUG DEVELOPMENT (STATISTICS IN PRACTICE)
Written by Stephen Senn
Published by John Wiley & Sons Ltd.
in 2007
ISBN: 9780470018774
- Categorised in:
- MATHS
- SCIENCE AND TECHNOLOGY
- STATISTICS
- PHARMACY
- MEDICINE
STATISTICAL ISSUES IN DRUG DEVELOPMENT (STATISTICS IN PRACTICE)
Written by Stephen Senn.
Stock no. 1830307
2009.
Hardback.
Very good condition.
Second Edition. Drug development is the process of finding and producing therapeutically useful pharmaceuticals, turning them into safe and effective medicine, and producing reliable information regarding the appropriate dosage and dosing intervals. This book presents and essential and thought provoking guide to the statistical issues and controversies involved in drug development. Glazed boards. xix and 498 pages including index. ISBN: 9780470018774. Reprint. A couple of small knocks to board edges. Boards faintly scuffed. Name and date in ink to front endpaper. Else contents are clean.
Front cover
Contents
- Preface to the Second Edition
- Prefaced to the First Edition
- Acknowledgements
- 1 Introduction
- 1.1 Drug Development
- 1.2 The role of statistics in drug development
- 1.3 The object of this book
- 1.4 The author's knowledge of statistics in drug development
- 1.5 The reader and his or her knowledge of statistics
- 1.6 How to use this book
- References
- Part 1 Four Views of Statistics in Drug Development: Historical, Methodological, Technical and Professional
- 2 A Brief and Superficial History of Statistics for Drug Developers
- 2.1 Introduction
- 2.2 Early Probabilists
- 2.3 James Bernoulli (1654-1705)
- 2.4 John Arbuthnott (1667-1753)
- 2.5 The mathematics of probability in the late 17th, the 18th and early 19th centuries
- 2.6 Thomas Bayes (1701-1761)
- 2.7 Adolphe Quetelet (1796-1874)
- 2.8 Francis Galton (1822-1911)
- 2.9 Karl Pearson (1857-1936)
- 2.10 'Student' (1876-1937)
- 2.11 RA Fisher (1890-1962)
- 2.12 Modern Mathematical statistics
- 2.13 Medical Statistics
- 2.14 Statistics in clinical trials today
- 2.15 The current debate
- 2.16 A living science
- 2.17 Further Reading
- References
- 3 Design and Interpretation of Clinical Trials as Seen by a Statistician
- 3.1 Prefatory Warning
- 3.2 Introduction
- 3.3 Defining effects
- 3.4 Practical problems in using the counterfactual argument
- 3.5 Regression to the mean
- 3.6 Control in clinical trials
- 3.7 Randomization
- 3.8 Blinding
- 3.9 Using concomitant observations
- 3.10 Measuring treatment effects
- 3.11 Data generation models
- 3.12 In conclusion
- 3.13 Further reading
- References
- 4 Probability, Bayes, P-values, Test of Hypotheses and Confidence Intervals
- 4.1 Introduction
- 4.2 An example
- 4.3 Odds and Sods
- 4.4 The Bayesian solution to the example
- 4.5 Why don't we regularly use the Bayesian approach in clinical trials?
- 4.6 A frequentish approach
- 4.7 Hypothesis testing in controlled clinical trials
- 4.8 Significance tests and p-values
- 4.9 Confidence intervals and limits and credible intervals
- 4.10 Some Bayesian criticism of the frequentist approach
- 4.11 Decision theory
- 4.12 Conclusion
- 4.13 Further Reading
- References
- 5 The Work of the Pharmaceutical Statistician
- 5.1 Prefatory remarks
- 5.2 Introduction
- 5.3 In the beginning
- 5.4 The trial protocol
- 5.5 The statistician's role in planning the protocol
- 5.6 Sample size determination
- 5.7 Other important design issues
- 5.8 Randomization
- 5.9 Data collection preview
- 5.10 Performing the trial
- 5.11 Data analysis preview
- 5.12 Analysis and Reporting
- 5.13 Other activities
- 5.14 Statistical research
- 5.15 Further reading
- References
- Part 2 Statistical Issues: Debatable and Controversial Topics in Drug Development
- 6 Allocating Treatments to Patients in Clinical Trials
- 6.1 Background
- 6.2 Issues
- References
- 6A Technical Appendix
- 7 Baselines and Covariate Information
- 7.1 Background
- 7.2 Issues
- References
- 7A Technical appendix
- 8 The Measurement of Treatment Effects
- 8.1 Background
- 8.2 Issues
- References
- 8A Technical Appendix
- 9 Demographic Subgroups: Representation and Analysis
- 9.1 Background
- 9.2 Issues
- References
- 9A Technical Appendix
- 10 Multiplicity
- 10.1 Background
- 10.2 Issues
- References
- 10A Technical Appendix
- 11 Intention to Treat, Missing Data and Related Matters
- 11.1 Background
- 11.2 Issues
- References
- 11A Technical Appendix
- 12 One-sided and Two-sided Tests and other issues to do with Significance and p-values
- 12.1 Background
- 12.2 Issues
- References
- 13 Determining the Sample Size
- 13.1 Background
- 13.2 Issues
- References
- 14. Multicentre Trials
- 14.1 Background
- 14.2 Issues
- References
- 14A Technical Appendix
- 15 Active Control Equivalence Studies
- 15.1 Background
- 15.2 Issues
- References
- 15A Technical Appendix
- 16 Meta-Analysis
- 16.1 Background
- 16.2 Issues
- References
- 16A Technical Appendix
- 17 Cross-over Trials
- 17.1 Background
- 17.2 Issues
- References
- 18 n-of-1 Trials
- 18.1 Background
- 18.2 Issues
- References
- 19 Sequential Trials
- 19.1 Background
- 19.2 Issues
- References
- 20 Dose-Finding
- 20.1 Background
- 20.2 Issues
- References
- 21 Concerning Pharmacokinetics and Pharmacodynamics
- 21.1 Background
- 21.2 Issues
- References
- 22 Bioequivalence Studies
- 22.1 Background
- 22.2 Issues
- References
- 23 Safety Data, Harms, Drug Monitoring and Pharmaco-epidemiology
- 23.1 Background
- 23.2 Issues
- References
- 24 Pharmaco-economics and Portfolio Management
- 24.1 Background
- 24.2 Issues
- References
- 25 Concerning Pharmacogenetics, Pharmacogenomics and Related Matters
- 25.1 Background
- 25.2 Issues
- References
- 25A Technical Appendix
- Glosary
- Index