Michael J. Campbell 
Statistics at Square Two 
Understanding Modern Statistical Applications in Medicine

Updated companion volume to the ever popular Statistics at
Square One (SS1)

Statistics at Square Two, Second Edition, helps you
evaluate the many statistical methods in current use. Going beyond
the basics of SS1, it covers sophisticated methods and highlights
misunderstandings. Easy to read, it includes annotated computer
outputs and keeps formulas to a minimum.

Worked examples of methods such as multiple and logical
regression reinforce the text. Each chapter concludes with
exercises to stimulate learning.

All those who need to understand statistics in clinical research
papers and apply them in their own research will value this compact
and coherent guide.

Table of Content

1 Models, tests and data.

2 Multiple linear regression.

3 Logistic regression.

4 Survival analysis.

5 Random effects models.

6 Other models.

.

Appendix 1: Exponentials and logarithms.

Appendix 2: Maximum likelihood and significance tests.

Appendix 3: Bootstrapping and variance robust standard
errors.

Appendix 4: Bayesian methods.

Answers to exercises.

Glossary.

Index

About the author

M J Campbell, Professor of Medical Statistics, University of Sheffield, UK