TY  - BOOK
AU  - Wainer, Howard.
ED  - Data Interpretation, Statistical
TI  - Medical Illuminations: Using Evidence, Visualization & Statistical Thinking to Improve Healthcare
SN  - 978-0-19-966879-3
U1  - 610.212 WAIN 
PY  - 2014///
CY  - Oxford
KW  - Evidence-based medicine
KW  - Medical statistics
KW  - Meta-Analysis as Topic
KW  - Statistics as Topic
KW  - Statistics - Graphic method
KW  - Oxford University Press
KW  - New York's cancer maps : what we don't know won't hurt us, it's what we do know that ain't -- A centenary celebration for Will Burtin : a pioneer of scientific visualization -- That's funny ... -- Commentary on some graphs in the 2008 National Healthcare Quality Report -- Improving graphic displays by controlling creativity -- Diabetes and the obesity : taking a better look at blood sugar as a start -- A second look at second opinions, with hip fractures as an example -- False positives, or, Is a pound of prevention worth an ounce of cure -- Assessing long-term risk with shorter-term data -- A remarkable horse : an inquiry into the accuracy of medical predictions -- On the role of replication in the advance of science : the survival of the fittist -- What does it take to change practice? -- Why is a raven like a writing desk? Musing on the power of convention
KW  - Data Interpretation, Statistical
KW  - Evidence-Based Medicine
N1  - 13 contemporary medical topics are used to illustrate how modern tools of statistical thinking and statistical graphics can illuminate them. Howard Wainer aims to solve some vexing problems that seem perplexing, and make the problems and their solutions clear for the general reader in order to gain a greater understanding of our complex world. Is it sensible to screen for breast or prostate cancer? Should the locations of cancer clusters be made available to the general public? When a doctor wants to perform major surgery and there's no chance for a second opinion, do you agree? The answers to these questions are not as black and white as they may first appear. Medical Illuminations presents thirteen contemporary medical topics, from the diminishing value of mammograms to how to decide if a hip needs to be replaced, to understanding cancer maps. In each case it illustrates how modern tools of statistical thinking and statistical graphics can illuminate our understanding. The goals are to solve some vexing problems that seem perplexing, and to make both the problems and their solutions clear to a non-technical audience. The aim is to ignite in the reader an understanding of statistical thinking, which, though subtle, can be learned without going through arcane mathematics. And, moreover, that learning about how to think in this way provides a huge payoff in the deeper understanding of our complex world
ER  -