Book description
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.
David Machin,
Children's Cancer and Leukaemia Group, University of Leicester, UK;
Division of Clinical Trials and Epidemiological Sciences, National
Cancer Centre, Singapore; Medical Statistics Unit, School of Health and
Related Sciences, University of Sheffield, UK
Michael J. Campbell, Medical Statistics Unit, School of Health
and Related Sciences, University of Sheffield, UK
Say Beng Tan, Singapore Clinical Research Institute, Singapore;
Duke-NUS Graduate Medical School, Singapore
Sze Huey Tan, Division of Clinical Trials and Epidemiological
Sciences, National Cancer Centre, Singapore
