ABSTRACT

Cancer is a dreaded disease. One in two people will be diagnosed with cancer within their lifetime. Medical Statistics for Cancer Studies shows how cancer data can be analysed in a variety of ways, covering cancer clinical trial data, epidemiological data, biological data, and genetic data. It gives some background in cancer biology and genetics, followed by detailed overviews of survival analysis, clinical trials, regression analysis, epidemiology, meta-analysis, biomarkers, and cancer informatics. It includes lots of examples using real data from the author’s many years of experience working in a cancer clinical trials unit.

Features:

  • A broad and accessible overview of statistical methods in cancer research
  • Necessary background in cancer biology and genetics
  • Details of statistical methodology with minimal algebra
  • Many examples using real data from cancer clinical trials
  • Appendix giving statistics revision.

chapter Chapter 1|6 pages

Introduction

chapter Chapter 2|16 pages

Cancer Biology and Genetics for Non-Biologists

chapter Chapter 3|42 pages

Survival Analysis

chapter Chapter 4|10 pages

Designing and Running a Clinical Trial

chapter Chapter 5|48 pages

Regression Analysis for Survival Data

chapter Chapter 6|28 pages

Clinical Trials: the Statistician's Role

chapter Chapter 7|42 pages

Cancer Epidemiology

chapter 8|38 pages

Meta-Analysis

chapter 9|24 pages

Cancer Biomarkers

chapter Chapter 10|30 pages

Cancer Informatics