Medical Statistics from Scratch: An Introduction for Health Professionals, 3rd Edition
David Bowers (Editor)
ISBN: 978-1-118-51938-7
Paperback / 408 pages / September 2014
US$55.95
医療統計学を初めて学ぶ医学生・医療従事者を対象に書かれた教科書の最新改訂版です。実際の文献からのデータなどを実例に用い、医療統計学の基本概念と実践方法が誰にでもマスターできるよう構成されています。
6年前に刊行された世界的なベストセラーになった第2版の特長を受け継ぎ、今回の第3版も、要求する数学的知識を最小限に留め、親しみやすくインフォーマルな文体で書かれています。その一方で、欠測値、ランダム割付け、データの隠蔽化、級内相関係数、効果修飾と交互作用、診断検査とROC曲線、標準化といった主題に関して記述を増補しています。
医療統計学の学習・教育に最適の初学者向けテキストとしておすすめします。
本書の目次
Introduction
I Some Fundamental Stuff
1 First things first – the nature of data ⇒ 試読できます(PDF)
II Descriptive Statistics
2 Describing data with tables
3 Every picture tells a story – describing data with charts
4 Describing data from its shape
5 Numbers R us
6 Measures of spread
III The Confounding Problem
7 Confounding – like the poor, (nearly) always with us
IV Design and Data
8 Research design – Part I: Observational study designs
9 Research design – Part II: Getting stuck in – experimental studies
10 Getting the participants for your study: ways of sampling
V Chance Would be a Fine Thing
11 The idea of probability
12 Risk and odds
VI The Informed Guess – An Introduction to Confidence Intervals
13 Estimating the value of a single population parameter – the idea of confidence intervals
14 Using confidence intervals to compare two population parameters
15 Confidence intervals for the ratio of two population parameters
VII Putting it to the Test
16 Testing hypotheses about the difference between two population parameters
17 The chi-squared test – what, why, and how?
18 Testing hypotheses about the ratio of two population parameters
VIII Becoming Acquainted
19 Measuring the association between two variables
20 Measuring agreement
IX Getting into a Relationship
21 Straight line models: linear regression
22 Curvy models: Logistic regression
X Three More Chapters
23 Measuring survival
24 Systematic review and meta-analysis
25 Diagnostic testing
Appendix: Table of random numbers
References
Solutions to Exercises
Index