1: How to use the Oxford Handbook of Medical Statistics 2: Research design 3: Collecting data 4: Handling data: what steps are important 5: Presenting research findings 6: Choosing and using statistical software 7: Summarising data 8: Probability and distributions 9: Statistical tests 10: Diagnostic studies 11: Other statistical methods/topics 12: Analysing multiple observations per subject 13: Analysing multiple variables per subject 14: Meta analysis 15: Bayesian statistics 16: Glossary
Janet is a biostatistician who has worked in UK and US Medical Schools for many years collaborating in research studies, particularly in paediatrics. She is also Emeritus Professor of Medical Statistics at King's College, London. Her main focus continues to be the use and extension of statistical methods in epidemiological studies. She is passionate about communicating statistics clearly and making results clinically meaningful without losing statistical rigour. Phil is in the final months of subspecialty training in paediatric emergency medicine in Oxford, having previously undertaken core paediatric training in Bristol. He has published several research papers, and enjoys helping clinicians to better understand statistics, engage with clinical research, and practice evidence-based medicine.
Review from previous edition 'I am a student of the Masters in Public Health. I just wanted to let you know that I have really enjoyed the classes you taught as well as the book that you've written (the oxford handbook of medical statistics). I found the book a breath of fresh air when revising for my exams- the explanations so clear and concise, straight to the point. Statistics really do make sense when explained like this. Thank you for providing such a useful tool.' * Alicia Rosello, King's College London *