An authoritative resource that offers the statistical tools and software needed to design and plan valid clinical studies
Now in its fourth and extended edition, Sample Sizes for Clinical, Laboratory and Epidemiology Studiesincludes the sample size software (SSS) and formulae and numerical tables needed to design valid clinical studies. The text covers clinical as well as laboratory and epidemiology studies and contains the information needed to ensure a study will form a valid contribution to medical research.
The authors, noted experts in the field, explain step by step and explore the wide range of considerations necessary to assist investigational teams when deriving an appropriate sample size for their when planned study. The book contains sets of sample size tables with companion explanations and clear worked out examples based on real data. In addition, the text offers bibliography and references sections that are designed to be helpful with guidance on the principles discussed.
This revised fourth edition:
- Offers the only text available to include sample size software for use in designing and planning clinical studies
- Presents new and extended chapters with many additional and refreshed examples
- Includes clear explanations of the principles and methodologies involved with relevant practical examples
- Makes clear a complex but vital topic that is designed to ensure valid methodology and publishable results
- Contains guidance from an internationally recognised team of medical statistics experts
Written for medical researchers from all specialities and medical statisticians, Sample Sizes for Clinical, Laboratory and EpidemiologyStudies offers an updated fourth edition of the important guide for designing and planning reliable and evidence based clinical studies.
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 83
7 Survival Time Outcomes 99
8 Paired Binary, Ordered Categorical and Continuous Outcomes 117
9 Confidence Intervals 137
10 Repeated Outcome Measures 157
11 Non‐Inferiority and Equivalence 169
12 Cluster Designs 195
13 Stepped Wedge Designs 215
14 More than Two Groups Designs 229
15 Genomic Targets and Dose‐Finding 239
16 Feasibility and Pilot Studies 251
17 Therapeutic Exploratory Trials: Single Arm with Binary Outcomes 269
18 Therapeutic Exploratory Trials: Survival, Dual Endpoints, Randomised and Genomic Targets 283
19 The Correlation Coefficient 305
20 Observer Agreement Studies 317
21 Reference Intervals and Receiver Operating Curves 339
22 Sample Size Software SSS 361
Cumulative References 363
Michael J. Campbell University of Southampton.
Say Beng Tan National Cancer Centre.
Sze Huey Tan National Cancer Centre, Singapore.