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Statistical evaluation of diagnostic performance in general and
Receiver Operating Characteristic (ROC) analysis in particular are
important for assessing the performance of medical tests and
statistical classifiers, as well as for evaluating predictive
models or algorithms. This book presents innovative approaches in
ROC analysis, which are relevant to a wide variety of applications,
including medical imaging, cancer research, epidemiology, and
bioinformatics. Statistical Evaluation of Diagnostic Performance:
Topics in ROC Analysis covers areas including
monotone-transformation techniques in parametric ROC analysis, ROC
methods for combined and pooled biomarkers, Bayesian hierarchical
transformation models, sequential designs and inferences in the ROC
setting, predictive modeling, multireader ROC analysis, and
free-response ROC (FROC) methodology. The book is suitable for
graduate-level students and researchers in statistics,
biostatistics, epidemiology, public health, biomedical engineering,
radiology, medical imaging, biomedical informatics, and other
closely related fields. Additionally, clinical researchers and
practicing statisticians in academia, industry, and government
could benefit from the presentation of such important and yet
frequently overlooked topics.
This book is comprised of the presentations delivered at the 25th
ICSA Applied Statistics Symposium held at the Hyatt Regency
Atlanta, on June 12-15, 2016. This symposium attracted more than
700 statisticians and data scientists working in academia,
government, and industry from all over the world. The theme of this
conference was the "Challenge of Big Data and Applications of
Statistics," in recognition of the advent of big data era, and the
symposium offered opportunities for learning, receiving
inspirations from old research ideas and for developing new ones,
and for promoting further research collaborations in the data
sciences. The invited contributions addressed rich topics closely
related to big data analysis in the data sciences, reflecting
recent advances and major challenges in statistics, business
statistics, and biostatistics. Subsequently, the six editors
selected 19 high-quality presentations and invited the speakers to
prepare full chapters for this book, which showcases new methods in
statistics and data sciences, emerging theories, and case
applications from statistics, data science and interdisciplinary
fields. The topics covered in the book are timely and have great
impact on data sciences, identifying important directions for
future research, promoting advanced statistical methods in big data
science, and facilitating future collaborations across disciplines
and between theory and practice.
This volume is a unique combination of papers that cover critical
topics in biostatistics from academic, government, and industry
perspectives. The 6 sections cover Bayesian methods in biomedical
research; Diagnostic medicine and classification; Innovative
Clinical Trials Design; Modelling and Data Analysis; Personalized
Medicine; and Statistical Genomics. The real world applications are
in clinical trials, diagnostic medicine and genetics. The
peer-reviewed contributions were solicited and selected from some
400 presentations at the annual meeting of the International
Chinese Statistical Association (ICSA), held with the International
Society for Biopharmaceutical Statistics (ISBS). The conference was
held in Bethesda in June 2013, and the material has been
subsequently edited and expanded to cover the most recent
developments.
This volume is a unique combination of papers that cover critical
topics in biostatistics from academic, government, and industry
perspectives. The 6 sections cover Bayesian methods in biomedical
research; Diagnostic medicine and classification; Innovative
Clinical Trials Design; Modelling and Data Analysis; Personalized
Medicine; and Statistical Genomics. The real world applications are
in clinical trials, diagnostic medicine and genetics. The
peer-reviewed contributions were solicited and selected from some
400 presentations at the annual meeting of the International
Chinese Statistical Association (ICSA), held with the International
Society for Biopharmaceutical Statistics (ISBS). The conference was
held in Bethesda in June 2013, and the material has been
subsequently edited and expanded to cover the most recent
developments.
This book is comprised of the presentations delivered at the 25th
ICSA Applied Statistics Symposium held at the Hyatt Regency
Atlanta, on June 12-15, 2016. This symposium attracted more than
700 statisticians and data scientists working in academia,
government, and industry from all over the world. The theme of this
conference was the "Challenge of Big Data and Applications of
Statistics," in recognition of the advent of big data era, and the
symposium offered opportunities for learning, receiving
inspirations from old research ideas and for developing new ones,
and for promoting further research collaborations in the data
sciences. The invited contributions addressed rich topics closely
related to big data analysis in the data sciences, reflecting
recent advances and major challenges in statistics, business
statistics, and biostatistics. Subsequently, the six editors
selected 19 high-quality presentations and invited the speakers to
prepare full chapters for this book, which showcases new methods in
statistics and data sciences, emerging theories, and case
applications from statistics, data science and interdisciplinary
fields. The topics covered in the book are timely and have great
impact on data sciences, identifying important directions for
future research, promoting advanced statistical methods in big data
science, and facilitating future collaborations across disciplines
and between theory and practice.
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