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Frontiers of Biostatistical Methods and Applications in Clinical Oncology
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Catalogue Information
Field name
Details
Dewey Class
519.5
Title
Frontiers of Biostatistical Methods and Applications in Clinical Oncology ([EBook]) / edited by Shigeyuki Matsui, John Crowley.
Added Personal Name
Matsui, Shigeyuki
Crowley, John
Other name(s)
SpringerLink (Online service)
Publication
Singapore : Springer Singapore , 2017.
Physical Details
XIII, 438 pages. 89 illus. : online resource.
ISBN
9789811001260
Summary Note
This book presents the state of the art of biostatistical methods and their applications in clinical oncology. Many methodologies established today in biostatistics have been brought about through its applications to the design and analysis of oncology clinical studies. This field of oncology, now in the midst of evolution owing to rapid advances in biotechnologies and cancer genomics, is becoming one of the most promising disease fields in the shift toward personalized medicine. Modern developments of diagnosis and therapeutics of cancer have also been continuously fueled by recent progress in establishing the infrastructure for conducting more complex, large-scale clinical trials and observational studies. The field of cancer clinical studies therefore will continue to provide many new statistical challenges that warrant further progress in the methodology and practice of biostatistics. This book provides a systematic coverage of various stages of cancer clinical studies. Topics from modern cancer clinical trials include phase I clinical trials for combination therapies, exploratory phase II trials with multiple endpoints/treatments, and confirmative biomarker-based phase III trials with interim monitoring and adaptation. It also covers important areas of cancer screening, prognostic analysis, and the analysis of large-scale molecular data in the era of big data.:
Contents note
1. Phase I clinical trials -- 2. Phase II clinical trials -- 3. Phase III clinical trials -- 4. Evaluation of surrogate endpoints -- 5. Disease Screening/development of diagnosis -- 6. Analysis of omics data (genomic signature developments etc) -- 7. Causal inference in clinical trials and observational studies.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site
http://dx.doi.org/10.1007/978-981-10-0126-0
Links to Related Works
Subject References:
Statistical Theory and Methods
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Statistics
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Statistics for Life Sciences, Medicine, Health Sciences
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Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
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Authors:
Crowley, John
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editor
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Matsui, Shigeyuki
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Corporate Authors:
SpringerLink (Online service)
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Classification:
519.5
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