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.Content:
Chapter 1 Basic Design Considerations (pages 1โ13):
Chapter 2 Distributions and Confidence Intervals (pages 14โ29):
Chapter 3 Comparing Two Independent Groups for Binary Data (pages 30โ41):
Chapter 4 Comparing two Independent Groups for Ordered Categorical Data (pages 42โ46):
Chapter 5 Comparing Two Independent Groups for Continuous Data (pages 47โ57):
Chapter 6 Cluster Designs, Repeated Measures Data and more than Two Groups (pages 58โ66):
Chapter 7 Comparing Paired Groups for Binary, Ordered Categorical and Continuous Outcomes (pages 67โ83):
Chapter 8 Comparing Survival Curves (pages 84โ101):
Chapter 9 Equivalence (pages 102โ121):
Chapter 10 Confidence Intervals (pages 122โ141):
Chapter 11 Post?Marketing Surveillance (pages 142โ152):
Chapter 12 The Correlation Coefficient (pages 153โ157):
Chapter 13 Reference Intervals and Receiver Operating Curves (pages 158โ178):
Chapter 14 Observer Agreement Studies (pages 179โ194):
Chapter 15 Dose Finding Studies (pages 195โ206):
Chapter 16 Phase II Trials (pages 207โ236):
Chapter 17 Sample Size Software SSS (pages 237โ238):