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.



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

Inhalt

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

Titel
Statistics at Square Two
Untertitel
Understanding Modern Statistical Applications in Medicine
EAN
9780470755020
Format
E-Book (pdf)
Hersteller
Digitaler Kopierschutz
Adobe-DRM
Dateigrösse
0.78 MB
Anzahl Seiten
144