Medical Statistics Made Easy has been a perennial bestseller since it was first published in 2003 (#1 bestseller in medical statistics on Amazon). It is widely recommend on a variety of courses and programmes, from undergraduate medicine, through to professional medical qualifications.
It is a book of key statistics principles for anyone studying or working in medicine and healthcare who needs a basic overview of the subject.
Using a consistent format, the authors describe the most common statistical methods in turn and then rate them on how difficult they are to understand and how common they are.
The worked examples that demonstrate the statistical method in action have been updated to include current articles from the medical literature and now feature a much wider range of medical journals.
This third edition continues with the same structure as the previous editions and also features a completely revised "Statistics at work" section.
Medical Statistics Made Easy 3e scores 99/100 and 5 stars on Doody's (Sept 2014)! Here's what the reviewer said:
"This is a practical guide to the use of statistics in medical literature and their application in clinical practice. The numerous examples help make the conceptualization of complex ideas easy. It is a great resource for healthcare students and clinicians in the field."
Medical Statistics Made Easy 3e scores 99/100 and 5 stars on Doody's (Sept 2014)! Here's what the reviewer said:
'This is a practical guide to the use of statistics in medical literature and their application in clinical practice. The numerous examples help make the conceptualization of complex ideas easy. It is a great resource for healthcare students and clinicians in the field.'
Medical Statistics Made Easy has been a perennial bestseller since it was first published in 2003 (number 1 bestseller in medical statistics on Amazon). It is widely recommend on a variety of courses and programmes, from undergraduate medicine, through to professional medical qualifications.
It is a book of key statistics principles for anyone studying or working in medicine and healthcare who needs a basic overview of the subject.
Using a consistent format, the authors describe the most common statistical methods in turn and then rate them on how difficult they are to understand and how common they are.
The worked examples that demonstrate the statistical method in action have been updated to include current articles from the medical literature and now feature a much wider range of medical journals.
This new third edition continues with the same structure as the previous editions and also includes a new section on statistical process controls.
From reviews of the second edition: "We would recommend this book as an introduction into medical statistics before plunging into the deep 'statistical' waters! It gives confidence to the reader in taking up the challenge of understanding statistics and [being] able to apply knowledge in analysing medical literature."
Stefanie Zhao Lin Lip & Louise Murchison,
Scottish Medical Journal, June 2010
"If ever there was a book that completely lived up to its title, this is it... The whole way in which the authors have written this book is commendable; the chapters are succinct, easy to follow and a pleasure to read...Is it value for money? a definite yes even at twice the price. Of course I never exaggerate but if you breathe, you should own this book!"
Ian Pearce,
Urology News, June 2010
Contents
Statistics which describe data: Percentages; Mean; Median; Mode; Standard deviation
Statistics which test confidence: Confidence intervals;
P values
Statistics which test differences: t tests and other parametric tests; Mann-Whitney and other non-parametric tests; Chi-squared
Statistics which compare risk: Risk ratio; Odds ratio; Risk reduction and numbers needed to treat
Statistics which analyse relationships: Correlation; Regression
Statistics which analyse survival: Survival analysis: life tables and Kaplan Meier plots; The Cox regression model
Statistics which analyse clinical investigations and screening: Sensitivity, specificity and predictive value; Level of agreement and Kappa
Other concepts
Statistics at work Standard deviation, relative risk and numbers needed to treat; Odds ratios and confidence intervals; Correlation and regression; Survival analysis; Sensitivity, specificity and predictive values; Statistical Process Controls
