Frontiers Of Biostatistical Methods And Applications In Clinical Oncology
by John Crowley /
2017 / English / PDF
9.8 MB Download
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.
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.