Medical Statistics from Scratch

ISBN: 978-0-470-85788-5

Oct 2003

218 pages

Select type: E-Book

\$44.99

Description

This second edition combines information from the original two books, Statistics from Scratch and Statistics Further from Scratch, to make one, comprehensive, user friendly, down-to-earth guide to elementary statistics. The book presents a detailed account of the most important procedures for the analysis of data, from the calculation of simple proportions, to a variety of statistical tests, and the use of regression models for modeling of clinical outcomes. The level of mathematics is kept to a minimum to make the material easily accessible to the novice, and a multitude of illustrative cases are included in every chapter, drown from the current research literature.
Preface.

Introduction.

PART I: SOME FUNDAMENTAL STUFF.

First Things First: the Nature of Data.

PART II: DESCRIBING DATA.

Describing Data with Tables.

Describing Data with Charts.

Describing Data from Its Distributional Shape.

Describing Data with Numeric Summary Values.

PART III: GETTING THE DATA.

Doing It Right First Time: Designing a Study.

PART IV: FROM LITTLE TO LARGE: STATISTICAL INFERENCE.

From Samples to Populations: Making Inferences.

Probability, Risk, and Odds.

PART V: THE INFORMED GUESS: CONFIDENCE INTERVAL ESTIMATION.

Estimating the Value of a Single Population Parameter.

Estimating the Difference between Two Population Parameters.

Estimating the Ratio of Two Population Parameters.

PART VI: PUTTING IT TO THE TEST.

Testing Hypotheses about the Difference Between Two Population Parameters.

Testing Hypotheses about the Ratio of Two Population Parameters.

Testing Hypotheses about the Equality of Population Proportions.

PART VII: GETTING UP CLOSE.

Measuring the Association between Two Variables.

Measuring the Agreement between Two Variables.

PART VIII: GETTING INTO A RELATIONSHIP.

Straight-line Models: Linear Regression.

Curvy Models: Logistic Regression.

Appendix: Table of Random Numbers.

Bibliography.

Index.

"......can be recommended to all non-statisticians in the medical world as an instructive and easy-to-read introduction..." (British Journal of Surgery, Oct 2003)

"...exciting and fun to read...information is presented in a digestible and humorous manner...an excellent beginner's book..." (Clinical Trials, Vol 1, 2004)

"...can be read by those without a rigorous background in mathematics...explanations are straight to the point...highly recommended..." (Statistical Methods in Medical Research, Vol 13, 2004)

• Clear statements of the learning objectives for each chapter
• Detailed explanation of the crucial distinctions between types of data
• Invaluable help in choosing the most appropriate ways of presenting and summarising data using charts and tables
• Practical tips on how to interpret basic descriptive statistics
• Use of real data in a wide variety of helpful work-through examples and end of chapter exercises
• Insightful examples of output from SPSS and Minitab for the most common applications
• Comprehensive coverage of the advantages and problems of a wide variety of methods for the collection of data, from simple random samples and cross-section studies, to cohort, case-control and clinical trials