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Medical Statistics: A Textbook for the Health Sciences

5th Edition, Stephen J. Walters, Michael J. Campbell, David Machin, 1119423643, 978-1119423645, 9781119423645, B08P5ZNKJ4

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English | 2021 | EPUB, Converted PDF | 37 MB

The 5th edition of this  popular introduction to statistics for the medical and health sciences  has undergone a significant revision, with several new chapters added  and examples refreshed throughout the book. Yet it retains its central  philosophy to explain medical statistics with as little technical detail  as possible, making it accessible to a wide audience. 

Helpful  multi-choice exercises are included at the end of each chapter, with  answers provided at the end of the book.  Each analysis technique is  carefully explained and the mathematics kept to minimum. Written in a  style suitable for statisticians and clinicians alike, this edition  features many real and original examples, taken from the authors'  combined many years' experience of designing and analysing clinical  trials and teaching statistics.

Students of the health  sciences, such as medicine, nursing, dentistry, physiotherapy,  occupational therapy, and radiography should find the book useful, with  examples relevant to their disciplines. The aim of training courses in  medical statistics pertinent to these areas is not to turn the students  into medical statisticians but rather to help them interpret the  published scientific literature and appreciate how to design studies and  analyse data arising from their own projects.  However, the reader who  is about to design their own study and collect, analyse and report on  their own data will benefit from a clearly written book on the subject  which provides practical guidance to such issues.

The  practical guidance provided by this book will be of use to professionals  working in and/or managing clinical trials, in academic, public health,  government and industry settings, particularly medical statisticians,  clinicians, trial co-ordinators. Its practical approach will appeal to  applied statisticians and biomedical researchers, in particular those in  the biopharmaceutical industry, medical and public health  organisations.

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