Dicing with Death
Living by Data

From measles to COVID, discover how data allied with statistical and probabilistic reasoning are essential to making rational decisions.

Stephen Senn (Author)

9781108999861, Cambridge University Press

Paperback / softback, published 8 December 2022

338 pages
22.9 x 15.3 x 2 cm, 0.52 kg

'I will strongly recommend this book to statisticians as well as non-statisticians who are working in the area of public health or otherwise. Given the price of the book, it will be an asset to any personal library or University library.' Kuldeep Kumar, Journal of the Royal Statistical Society Series A: Statistics in Society

As a result of the COVID-19 pandemic, medical statistics and public health data have become staples of newsfeeds worldwide, with infection rates, deaths, case fatality and the mysterious R figure featuring regularly. However, we don't all have the statistical background needed to translate this information into knowledge. In this lively account, Stephen Senn explains these statistical phenomena and demonstrates how statistics is essential to making rational decisions about medical care. The second edition has been thoroughly updated to cover developments of the last two decades and includes a new chapter on medical statistical challenges of COVID-19, along with additional material on infectious disease modelling and representation of women in clinical trials. Senn entertains with anecdotes, puzzles and paradoxes, while tackling big themes including: clinical trials and the development of medicines, life tables, vaccines and their risks or lack of them, smoking and lung cancer, and even the power of prayer.

1. Circling the square
2. The diceman cometh
3. Trials of life
4. Of dice and men
5. Sex and the single patient
6. A hale view of pills (and other matters)
7. Time's tables
8. A dip in the pool
9. The things that bug us
10. The law is a ass
11. The empire of the sum
12. Going viral
Notes
Index.

Subject Areas: Probability & statistics [PBT], Mathematics [PB], Epidemiology & medical statistics [MBNS], Law [L], Data analysis: general [GPH]