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Biostatistics in Clinical Oncology

In Masood N., Shakil Malik S. (eds) 'Essentials of Cancer Genomic, Computational Approaches and Precision Medicine. Singapore : Springer
By: Roy, G.
Contributor(s): Bhattacharjee, A | Khan, I.
Material type: materialTypeLabelArticlePublisher: Singapore Springer 2020Description: p. 365-378.ISBN: 978-981-15-1066-3.Subject(s): Biostatistics | Statistical methods | Clinical Oncology In: Masood N., Shakil Malik S. (eds) 'Essentials of Cancer Genomic, Computational Approaches and Precision Medicine. Singapore : SpringerSummary: There is a real need for the application of statistics in oncology research. Statistics is required to support oncology research through study design, analysis, and meta-analysis. This chapter is about the illustration of different statistics section important in oncology research. The application of statistical methods, in the design and interpretation of oncology research, helps different substantial outcomes as compared to the classical approach. Statistical methods can easily handle different complex issue. The issue may be due to data and study design in oncology. It is hoped that this statistical review will be a useful resource to the oncologist. It will promote quality experimental research in oncology.
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Roy G., Bhattacharjee A., Khan I. (2020) Biostatistics in Clinical Oncology. In: Masood N., Shakil Malik S. (eds) 'Essentials of Cancer Genomic, Computational Approaches and Precision Medicine. Springer, Singapore. pp.365-678. ISBN: 978-981-15-1066-3

There is a real need for the application of statistics in oncology research. Statistics is required to support oncology research through study design, analysis, and meta-analysis. This chapter is about the illustration of different statistics section important in oncology research.
The application of statistical methods, in the design and interpretation of oncology research, helps different substantial outcomes as compared to the classical approach.
Statistical methods can easily handle different complex issue. The issue may be due to data and study design in oncology. It is hoped that this statistical review will be a useful resource to the oncologist. It will promote quality experimental research in oncology.

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