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Sample size tables for clinical, laboratory and epidemiology studies

By: Machin, DavidContributor(s): Campbell, Michael J | Tan, Say Beng | Tan, Sze Huey | ProQuestPublication details: Hoboken, New Jersey : Wiley, 2018Edition: 4th edDescription: viii, 390 p. : 24 cmISBN: 9781118874943Subject(s): Clinical trials | Research design | Sample size | Statistical methodsDDC classification: W20.55.C5 Summary: Summary: This book provides statisticians and researchers with the statistical tools - equations, formulae and numerical tables - to design and plan clinical studies and carry out accurate, reliable and reproducible analysis of the data so obtained. There is no way around this as incorrect procedure in clinical studies means that the researcher's paper will not be accepted by a peer-reviewed journal. Planning and analysing clinical studies is a very complicated business and this book provides indispensible factual information.
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Content:

1 Basic Design Considerations 1

2 Further Design Considerations 29

3 Binary Outcomes 41

4 Ordered Categorical Outcomes 55

5 Continuous Outcomes 67

6 Rate Outcomes 81

7 Survival Time Outcomes 97

8 Paired Binary, Ordered Categorical and Continuous Outcomes 115

9 Confidence Intervals 135

10 Repeated Outcome Measures 155

11 Non?]Inferiority and Equivalence 167

12 Cluster Designs 193

13 Stepped Wedge Designs 211

14 More than Two Groups Designs 225

15 Genomic Targets and Dose?]Finding 235

16 Feasibility and Pilot Studies 247

17 Therapeutic Exploratory Trials: Single Arm with Binary Outcomes 265

18 Therapeutic Exploratory Trials: Survival, Dual Endpoints, Randomised and Genomic Targets 281

19 The Correlation Coefficient 303

20 Observer Agreement Studies 315

21 Reference Intervals and Receiver Operating Curves 337

22 Sample Size Software 359

Cumulative References 361

Index


Summary:

This book provides statisticians and researchers with the statistical tools - equations, formulae and numerical tables - to design and plan clinical studies and carry out accurate, reliable and reproducible analysis of the data so obtained. There is no way around this as incorrect procedure in clinical studies means that the researcher's paper will not be accepted by a peer-reviewed journal. Planning and analysing clinical studies is a very complicated business and this book provides indispensible factual information.

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