
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.
How can statistical thinking and graphical analysis clarify complex medical dilemmas for the general public? Howard Wainer, a researcher with extensive experience in statistical graphics and educational testing, argues that many medical uncertainties are not binary but require nuanced data interpretation. By applying statistical tools to thirteen contemporary health topics, he demonstrates that a deeper understanding of probability and data visualization can empower patients and practitioners to make more informed decisions without requiring advanced mathematical training.
What You Will Find
Scope Limits
Experts and reviewers frequently note the accessibility of Wainer's prose, which successfully translates complex statistical concepts for a lay audience. The book is widely regarded as a useful primer for those seeking to improve their data literacy in the context of modern healthcare decision-making.
Page Count:
184
Publication Date:
2013-01-01
Publisher:
Oup Oxford
ISBN-10:
0191646032
ISBN-13:
9780191646034
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