Biostatistical Applications in Cancer Research

2003
ISBN: 978-1-4020-7226-0
Verlag: Springer US

Buch, Englisch, Band 113, 238 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1170 g

Reihe: Cancer Treatment and Research

Biostatistics is defined as much by its application as it is by theory. This book provides an introduction to biostatistical applications in modern cancer research that is both accessible and valuable to the cancer biostatistician or to the cancer researcher, learning biostatistics. The topical areas include active areas of the application of biostatistics to modern cancer research: survival analysis, screening, diagnostics, spatial analysis and the analysis of microarray data.
Biostatistics is an essential component of basic and clinical cancer research. The text, authored by distinguished figures in the field, addresses clinical issues in statistical analysis. The spectrum of topics discussed ranges from fundamental methodology to clinical and translational applications.

Zielgruppe

Research

Autoren/Hrsg.

Beam, Craig

Fachgebiete

• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Biomedizin, Medizinische Forschung, Klinische Studien
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Onkologie, Krebsforschung

Inhaltsverzeichnis

1. Models and the Early Detection of Disease: Methodological Considerations.- 2. Statistical Models for Screening: Planning Public Health Programs.- 3. Survival Analysis Methods in Cancer Studies.- 4. Cox Proportional Hazards Regression Models for Survival Data in Cancer Research.- 5. Some Aspects of Analysis of Gene Array Data.- 6. An Analysis of Gene Array Data Related to Cell Adhesion and Prostate Cancer.- 7. Spatial Analysis of Disease.- 8. Spatial Analysis of Disease — Applications.- 9. Cancer Diagnostics: Statistical Methods.- 10. Case Study: Evaluating Accuracy of Cancer Diagnostic Tests.