Handbook Of Statistics In Clinical Oncology
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Handbook Of Statistics In Clinical Oncology
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Author : John Crowley
language : en
Publisher: CRC Press
Release Date : 2012-03-26
Handbook Of Statistics In Clinical Oncology written by John Crowley and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-26 with Mathematics categories.
Addressing the many challenges that have arisen since the publication of its predecessor, this third edition covers the newest developments involved in the design and analysis of cancer clinical trials. Accessible to statisticians in clinical trials as well as oncologists interested in clinical trial methodology, the book presents up-to-date statistical approaches to the design and analysis of oncology clinical trials. New topics in this edition include trial designs for targeted agents, Bayesian trial design, and the inclusion of high-dimensional data and imaging techniques. This edition also contains numerous figures and examples to better explain concepts.
Handbook Of Statistics In Clinical Oncology
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Author : John Crowley
language : en
Publisher: CRC Press
Release Date : 2005-12-01
Handbook Of Statistics In Clinical Oncology written by John Crowley and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-01 with Mathematics categories.
A compendium of cutting-edge statistical approaches to solving problems in clinical oncology, Handbook of Statistics in Clinical Oncology, Second Edition focuses on clinical trials in phases I, II, and III, proteomic and genomic studies, complementary outcomes and exploratory methods. Cancer Forum called the first edition a
Handbook Of Statistics In Clinical Oncology Second Edition
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Author : John Crowley
language : en
Publisher: Chapman and Hall/CRC
Release Date : 2005-12-01
Handbook Of Statistics In Clinical Oncology Second Edition written by John Crowley and has been published by Chapman and Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-01 with Mathematics categories.
A compendium of cutting-edge statistical approaches to solving problems in clinical oncology, Handbook of Statistics in Clinical Oncology, Second Edition focuses on clinical trials in phases I, II, and III, proteomic and genomic studies, complementary outcomes and exploratory methods. Cancer Forum called the first edition a “1⁄4good reference book for statisticians who will be designing and analyzing cancer trials." The second edition includes over 1000 references, more than forty world-renowned contributors, and 300 equations, tables, and drawings. During the five years since publication of the first edition, there has been an explosion in the technological capabilities supporting genomic and proteomic research, which are is now firmly implanted in clinical oncology. Reflecting these developments, the second edition contains a new section devoted to analyses of high-throughput data and bioinformatics. Previous chapters of the first edition have been revised to reflect current state of the art in their respective domains. The intended audience is primarily statisticians working in cancer and more generally, in any discipline of medicine. But oncologists too will find the material accessible and will benefit from a rudimentary understanding of the fundamental concepts laid forth in each chapter. Completely revised while keeping the features that made the first edition a bestseller, this is the best single source for up-to-date statistical approaches to research in clinical medicine. More than just an update of the handbook that became the gold standard, this second edition brings you fully into the genomic era of medicine.
Statistical Aspects Of The Design And Analysis Of Clinical Trials
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Author : Brian S Everitt
language : en
Publisher: World Scientific
Release Date : 2000-01-30
Statistical Aspects Of The Design And Analysis Of Clinical Trials written by Brian S Everitt and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-01-30 with Medical categories.
About 8000 clinical trials are undertaken annually in all areas of medicine, from the treatment of acne to the prevention of cancer. Correct interpretation of the data from such trials depends largely on adequate design and on performing the appropriate statistical analyses. In this book, the statistical aspects of both the design and analysis of trials are described, with particular emphasis on recently developed methods of analysis./a
Fundamentals Of Clinical Trials
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Author : Lawrence M. Friedman
language : en
Publisher: Springer Science & Business Media
Release Date : 1998
Fundamentals Of Clinical Trials written by Lawrence M. Friedman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Medical categories.
This classic reference, now updated with the newest applications and results, addresses the fundamentals of such trials based on sound scientific methodology, statistical principles, and years of accumulated experience by the three authors.
Design And Analysis Of Quality Of Life Studies In Clinical Trials
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Author : Diane L. Fairclough
language : en
Publisher: CRC Press
Release Date : 2010-01-07
Design And Analysis Of Quality Of Life Studies In Clinical Trials written by Diane L. Fairclough and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-07 with Mathematics categories.
Design Principles and Analysis Techniques for HRQoL Clinical TrialsSAS, R, and SPSS examples realistically show how to implement methods Focusing on longitudinal studies, Design and Analysis of Quality of Life Studies in Clinical Trials, Second Edition addresses design and analysis aspects in enough detail so that readers can apply statistical meth
Clinical Prediction Models
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Author : Ewout W. Steyerberg
language : en
Publisher: Springer
Release Date : 2019-07-22
Clinical Prediction Models written by Ewout W. Steyerberg and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-22 with Medical categories.
The second edition of this volume provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but a sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice. There is an increasing need for personalized evidence-based medicine that uses an individualized approach to medical decision-making. In this Big Data era, there is expanded access to large volumes of routinely collected data and an increased number of applications for prediction models, such as targeted early detection of disease and individualized approaches to diagnostic testing and treatment. Clinical Prediction Models presents a practical checklist that needs to be considered for development of avalid prediction model. Steps include preliminary considerations such as dealing with missing values; coding of predictors; selection of main effects and interactions for a multivariable model; estimation of model parameters with shrinkage methods and incorporation of external data; evaluation of performance and usefulness; internal validation; and presentation formatting. The text also addresses common issues that make prediction models suboptimal, such as small sample sizes, exaggerated claims, and poor generalizability. The text is primarily intended for clinical epidemiologists and biostatisticians. Including many case studies and publicly available R code and data sets, the book is also appropriate as a textbook for a graduate course on predictive modeling in diagnosis and prognosis. While practical in nature, the book also provides a philosophical perspective on data analysis in medicine that goes beyond predictive modeling. Updates to this new and expanded edition include: • A discussion of Big Data and its implications for the design of prediction models • Machine learning issues • More simulations with missing ‘y’ values • Extended discussion on between-cohort heterogeneity • Description of ShinyApp • Updated LASSO illustration • New case studies
Manual Of Clinical Oncology
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Author : Bartosz Chmielowski
language : en
Publisher: LWW
Release Date : 2017
Manual Of Clinical Oncology written by Bartosz Chmielowski and has been published by LWW this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Medical categories.
Publisher's Note: Products purchased from 3rd Party sellers are not guaranteed by the Publisher for quality, authenticity, or access to any online entitlements included with the product. Concise, portable, and packed with essential information, Manual of Clinical Oncology is an indispensable resource for understanding basic science, clinical findings, and available technology as they relate to the diagnosis and management patients with cancer. The practical format provides high-yield content useful for participating in rounds ad making diagnostic and therapeutic decisions at the bedside. Edited by Dr. Bartosz Chmielowski and Dr. Mary Territo, both from UCLA School of Medicine, this eighth edition carries on the tradition of excellence set forth by longtime editor Dr. Dennis Casciato. Key Features: Incorporates recent major achievements in immunotherapies, biologics, and targeted therapies. Features new chapters on the biology of cancer, immunotherapy, and cancer survivorship. Contains numerous diagnostic and treatment algorithms, as well as content on complications, for assistance with clinical decision making. Includes helpful appendices such as a glossary of cytogenetic nomenclature and combination chemotherapy regimens. Your book purchase includes a complimentary download of the enhanced eBook for iOS, Android, PC & Mac. Take advantage of these practical features that will improve your eBook experience: The ability to download the eBook on multiple devices at one time -- providing a seamless reading experience online or offline Powerful search tools and smart navigation cross-links that allow you to search within this book, or across your entire library of VitalSource eBooks Multiple viewing options that enable you to scale images and text to any size without losing page clarity as well as responsive design The ability to highlight text and add notes with one click
Gunderson Tepper S Clinical Radiation Oncology E Book
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Author : Joel E. Tepper
language : en
Publisher: Elsevier Health Sciences
Release Date : 2019-12-06
Gunderson Tepper S Clinical Radiation Oncology E Book written by Joel E. Tepper and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-06 with Medical categories.
A comprehensive, multidisciplinary resource for the entire radiation oncology team, Gunderson & Tepper's Clinical Radiation Oncology, 5th Edition, thoroughly covers all aspects of this complex and dynamic field. Concise, templated chapters cover the basic biology of oncologic disease processes as well as updated treatment algorithms, the latest clinical guidelines, and state-of-the-art techniques and modalities. More than 1,000 images—detailed anatomy drawings, radiographic images, and more—provide outstanding visual support for every area of the text. - Divides content into three distinct sections for quick access to information: Scientific Foundations, Techniques and Modalities, and Disease Sites. Disease Site chapters include overviews summarizing the most important issues and concluding discussions on controversies and problems. - Features new and expanded content on molecular and cellular biology and its relevance in individualized treatment approaches, stereotactic radiation therapy, radiosurgery, proton therapy, biologic therapy, precision radiation therapy, targeted radiation, dosing guidelines for better quality of life and improved patient outcomes, and more. - Includes new chapters on Radiation Physics: Particle Therapy, Interventional Radiology, Radiation Therapy in the Elderly, Palliative Care, Quality and Safety, and Immunotherapy with Radiotherapy. - Provides guidance on single-modality and combined-modality approaches, as well as outcome data including disease control, survival, and treatment tolerance. - Includes access to videos on Intraoperative Irradiation, Prostate Brachytherapy, Penile Brachytherapy, and Ocular Melanoma. - Expert ConsultTM eBook version included with purchase. This enhanced eBook experience allows you to search all of the text, figures, and references from the book on a variety of devices.
R For Health Data Science
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Author : Ewen Harrison
language : en
Publisher: CRC Press
Release Date : 2020-12-31
R For Health Data Science written by Ewen Harrison and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-31 with Medical categories.
In this age of information, the manipulation, analysis, and interpretation of data have become a fundamental part of professional life; nowhere more so than in the delivery of healthcare. From the understanding of disease and the development of new treatments, to the diagnosis and management of individual patients, the use of data and technology is now an integral part of the business of healthcare. Those working in healthcare interact daily with data, often without realising it. The conversion of this avalanche of information to useful knowledge is essential for high-quality patient care. R for Health Data Science includes everything a healthcare professional needs to go from R novice to R guru. By the end of this book, you will be taking a sophisticated approach to health data science with beautiful visualisations, elegant tables, and nuanced analyses. Features Provides an introduction to the fundamentals of R for healthcare professionals Highlights the most popular statistical approaches to health data science Written to be as accessible as possible with minimal mathematics Emphasises the importance of truly understanding the underlying data through the use of plots Includes numerous examples that can be adapted for your own data Helps you create publishable documents and collaborate across teams With this book, you are in safe hands – Prof. Harrison is a clinician and Dr. Pius is a data scientist, bringing 25 years’ combined experience of using R at the coal face. This content has been taught to hundreds of individuals from a variety of backgrounds, from rank beginners to experts moving to R from other platforms.