Frontiers of Biostatistical Methods and Applications in Clinical Oncology

Frontiers of Biostatistical Methods and Applications in Clinical Oncology

Author: Shigeyuki Matsui

Publisher: Springer

Published: 2017-10-03

Total Pages: 438

ISBN-13: 981100126X

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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.


Book Synopsis Frontiers of Biostatistical Methods and Applications in Clinical Oncology by : Shigeyuki Matsui

Download or read book Frontiers of Biostatistical Methods and Applications in Clinical Oncology written by Shigeyuki Matsui and published by Springer. This book was released on 2017-10-03 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Methods and Biostatistics in Oncology

Methods and Biostatistics in Oncology

Author: Raphael. L.C Araújo

Publisher: Springer

Published: 2018-04-16

Total Pages: 348

ISBN-13: 3319713248

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This book introduces and discusses the most important aspects of clinical research methods and biostatistics for oncologists, pursuing a tailor-made and practical approach. Evidence-based medicine (EBM) has been in vogue in the last few decades, particularly in rapidly advancing fields such as oncology. This approach has been used to support decision-making processes worldwide, sparking new clinical research and guidelines on clinical and surgical oncology. Clinical oncology research has many peculiarities, including specific study endpoints, a special focus on survival analyses, and a unique perspective on EBM. However, during medical studies and in general practice, these topics are barely taught. Moreover, even when EBM and clinical cancer research are discussed, they are presented in a theoretical fashion, mostly focused on formulas and numbers, rather than on clinical application for a proper literature appraisal. Addressing that gap, this book discusses more practical aspects of clinical research and biostatistics in oncology, instead of relying only on mathematical formulas and theoretical considerations. Methods and Biostatistics in Oncology will help readers develop the skills they need to understand the use of research on everyday oncology clinical practice for study design and interpretation, as well to demystify the use of EBM in oncology.


Book Synopsis Methods and Biostatistics in Oncology by : Raphael. L.C Araújo

Download or read book Methods and Biostatistics in Oncology written by Raphael. L.C Araújo and published by Springer. This book was released on 2018-04-16 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces and discusses the most important aspects of clinical research methods and biostatistics for oncologists, pursuing a tailor-made and practical approach. Evidence-based medicine (EBM) has been in vogue in the last few decades, particularly in rapidly advancing fields such as oncology. This approach has been used to support decision-making processes worldwide, sparking new clinical research and guidelines on clinical and surgical oncology. Clinical oncology research has many peculiarities, including specific study endpoints, a special focus on survival analyses, and a unique perspective on EBM. However, during medical studies and in general practice, these topics are barely taught. Moreover, even when EBM and clinical cancer research are discussed, they are presented in a theoretical fashion, mostly focused on formulas and numbers, rather than on clinical application for a proper literature appraisal. Addressing that gap, this book discusses more practical aspects of clinical research and biostatistics in oncology, instead of relying only on mathematical formulas and theoretical considerations. Methods and Biostatistics in Oncology will help readers develop the skills they need to understand the use of research on everyday oncology clinical practice for study design and interpretation, as well to demystify the use of EBM in oncology.

Biostatistical Applications in Cancer Research

Biostatistical Applications in Cancer Research

Author: Craig Beam

Publisher: Springer Science & Business Media

Published: 2013-03-14

Total Pages: 242

ISBN-13: 1475735715

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Biostatistics is defined as much by its application as it is by theory. This book provides an introduction to biostatistical applications in modern cancer research that is both accessible and valuable to the cancer biostatistician or to the cancer researcher, learning biostatistics. The topical areas include active areas of the application of biostatistics to modern cancer research: survival analysis, screening, diagnostics, spatial analysis and the analysis of microarray data. Biostatistics is an essential component of basic and clinical cancer research. The text, authored by distinguished figures in the field, addresses clinical issues in statistical analysis. The spectrum of topics discussed ranges from fundamental methodology to clinical and translational applications.


Book Synopsis Biostatistical Applications in Cancer Research by : Craig Beam

Download or read book Biostatistical Applications in Cancer Research written by Craig Beam and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biostatistics is defined as much by its application as it is by theory. This book provides an introduction to biostatistical applications in modern cancer research that is both accessible and valuable to the cancer biostatistician or to the cancer researcher, learning biostatistics. The topical areas include active areas of the application of biostatistics to modern cancer research: survival analysis, screening, diagnostics, spatial analysis and the analysis of microarray data. Biostatistics is an essential component of basic and clinical cancer research. The text, authored by distinguished figures in the field, addresses clinical issues in statistical analysis. The spectrum of topics discussed ranges from fundamental methodology to clinical and translational applications.

Handbook of Statistics in Clinical Oncology, Third Edition

Handbook of Statistics in Clinical Oncology, Third Edition

Author: John Crowley

Publisher: CRC Press

Published: 2012-03-26

Total Pages: 661

ISBN-13: 1439862001

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Many new challenges have arisen in the area of oncology clinical trials. New cancer therapies are often based on cytostatic or targeted agents, which pose new challenges in the design and analysis of all phases of trials. The literature on adaptive trial designs and early stopping has been exploding. Inclusion of high-dimensional data and imaging techniques have become common practice, and statistical methods on how to analyse such data have been refined in this area. A compilation of statistical topics relevant to these new advances in cancer research, this third edition of Handbook of Statistics in Clinical Oncology focuses on the design and analysis of oncology clinical trials and translational research. 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, incorporating updates to all four parts: Phase I trials: Updated recommendations regarding the standard 3 + 3 and continual reassessment approaches, along with new chapters on phase 0 trials and phase I trial design for targeted agents. Phase II trials: Updates to current experience in single-arm and randomized phase II trial designs. New chapters include phase II designs with multiple strata and phase II/III designs. Phase III trials: Many new chapters include interim analyses and early stopping considerations, phase III trial designs for targeted agents and for testing the ability of markers, adaptive trial designs, cure rate survival models, statistical methods of imaging, as well as a thorough review of software for the design and analysis of clinical trials. Exploratory and high-dimensional data analyses: All chapters in this part have been thoroughly updated since the last edition. New chapters address methods for analyzing SNP data and for developing a score based on gene expression data. In addition, chapters on risk calculators and forensic bioinformatics have been added. Accessible to statisticians and oncologists interested in clinical trial methodology, the book is a single-source collection of up-to-date statistical approaches to research in clinical oncology.


Book Synopsis Handbook of Statistics in Clinical Oncology, Third Edition by : John Crowley

Download or read book Handbook of Statistics in Clinical Oncology, Third Edition written by John Crowley and published by CRC Press. This book was released on 2012-03-26 with total page 661 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many new challenges have arisen in the area of oncology clinical trials. New cancer therapies are often based on cytostatic or targeted agents, which pose new challenges in the design and analysis of all phases of trials. The literature on adaptive trial designs and early stopping has been exploding. Inclusion of high-dimensional data and imaging techniques have become common practice, and statistical methods on how to analyse such data have been refined in this area. A compilation of statistical topics relevant to these new advances in cancer research, this third edition of Handbook of Statistics in Clinical Oncology focuses on the design and analysis of oncology clinical trials and translational research. 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, incorporating updates to all four parts: Phase I trials: Updated recommendations regarding the standard 3 + 3 and continual reassessment approaches, along with new chapters on phase 0 trials and phase I trial design for targeted agents. Phase II trials: Updates to current experience in single-arm and randomized phase II trial designs. New chapters include phase II designs with multiple strata and phase II/III designs. Phase III trials: Many new chapters include interim analyses and early stopping considerations, phase III trial designs for targeted agents and for testing the ability of markers, adaptive trial designs, cure rate survival models, statistical methods of imaging, as well as a thorough review of software for the design and analysis of clinical trials. Exploratory and high-dimensional data analyses: All chapters in this part have been thoroughly updated since the last edition. New chapters address methods for analyzing SNP data and for developing a score based on gene expression data. In addition, chapters on risk calculators and forensic bioinformatics have been added. Accessible to statisticians and oncologists interested in clinical trial methodology, the book is a single-source collection of up-to-date statistical approaches to research in clinical oncology.

Statistical Approaches in Oncology Clinical Development

Statistical Approaches in Oncology Clinical Development

Author: Satrajit Roychoudhury

Publisher: CRC Press

Published: 2018-12-07

Total Pages: 237

ISBN-13: 1498772706

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Statistical Approaches in Oncology Clinical Development : Current Paradigm and Methodological Advancement presents an overview of statistical considerations in oncology clinical trials, both early and late phase of development. It illustrates how novel statistical methods can enrich the design and analysis of modern oncology trials. The authors include many relevant real life examples from the pharmaceutical industry and academia based on their first-hand experience. Along with relevant references, the book highlights current regulatory views. The book covers all aspects of cancer clinical trial starting from early phase development. The early part of the book covers novel phase I dose escalation design, exposure response analysis, and innovative phase II design. This includes early development strategy for cancer immunotherapy trials. The contributors also emphasized the role of biomarker and modern era of precision medicine. The second part focuses on the late stage development. This includes the application of adaptive design, safety analysis, and quality of life (QoL) data analysis. The final part discusses current regulatory perspective and challenges. Features: Covers a wide spectrum of topics related to real-life statistical challenges in oncology clinical trials. Provides a comprehensive overview of novel statistical methods to improve trial design and statistical analysis. Detailed case studies illustrate the real life applications. Satrajit Roychoudhury is a Senior Director and a member of the Statistical Research and Innovation group in Pfizer Inc. Prior to joining; he was a member of Statistical Methodology and consulting group in Novartis. He has 11 years of extensive experience in working with different phases of clinical trial. His area of research includes early phase oncology trials, survival analysis, model informed drug development, and use of Bayesian methods in clinical trials. He is industry co-chair for the ASA Biopharmaceutical Section Regulatory-Industry Workshop and has provided statistical training in major conferences including the Joint Statistical Meetings, ASA Biopharmaceutical Section Regulatory-Industry Workshop, and ICSA Applied Statistics Symposium. Soumi Lahiri has 12 years of extensive experience in working different therapeutic areas. She is the former Director of Biostatistics in Clinical Oncology, GlaxoSmithKline. She has also worked in the oncology division of Novartis Pharmaceutical Company for two years. She is an active member of the ASA Biopharmaceutical section and former chair of the membership committee.


Book Synopsis Statistical Approaches in Oncology Clinical Development by : Satrajit Roychoudhury

Download or read book Statistical Approaches in Oncology Clinical Development written by Satrajit Roychoudhury and published by CRC Press. This book was released on 2018-12-07 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Approaches in Oncology Clinical Development : Current Paradigm and Methodological Advancement presents an overview of statistical considerations in oncology clinical trials, both early and late phase of development. It illustrates how novel statistical methods can enrich the design and analysis of modern oncology trials. The authors include many relevant real life examples from the pharmaceutical industry and academia based on their first-hand experience. Along with relevant references, the book highlights current regulatory views. The book covers all aspects of cancer clinical trial starting from early phase development. The early part of the book covers novel phase I dose escalation design, exposure response analysis, and innovative phase II design. This includes early development strategy for cancer immunotherapy trials. The contributors also emphasized the role of biomarker and modern era of precision medicine. The second part focuses on the late stage development. This includes the application of adaptive design, safety analysis, and quality of life (QoL) data analysis. The final part discusses current regulatory perspective and challenges. Features: Covers a wide spectrum of topics related to real-life statistical challenges in oncology clinical trials. Provides a comprehensive overview of novel statistical methods to improve trial design and statistical analysis. Detailed case studies illustrate the real life applications. Satrajit Roychoudhury is a Senior Director and a member of the Statistical Research and Innovation group in Pfizer Inc. Prior to joining; he was a member of Statistical Methodology and consulting group in Novartis. He has 11 years of extensive experience in working with different phases of clinical trial. His area of research includes early phase oncology trials, survival analysis, model informed drug development, and use of Bayesian methods in clinical trials. He is industry co-chair for the ASA Biopharmaceutical Section Regulatory-Industry Workshop and has provided statistical training in major conferences including the Joint Statistical Meetings, ASA Biopharmaceutical Section Regulatory-Industry Workshop, and ICSA Applied Statistics Symposium. Soumi Lahiri has 12 years of extensive experience in working different therapeutic areas. She is the former Director of Biostatistics in Clinical Oncology, GlaxoSmithKline. She has also worked in the oncology division of Novartis Pharmaceutical Company for two years. She is an active member of the ASA Biopharmaceutical section and former chair of the membership committee.

Biostatistics for Oncologists

Biostatistics for Oncologists

Author: Kara-Lynne Leonard, MD, MS

Publisher: Springer Publishing Company

Published: 2018-04-28

Total Pages: 200

ISBN-13: 0826168590

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Biostatistics for Oncologists is the first practical guide providing the essential biostatistical concepts, oncology-specific examples, and applicable problem sets for medical oncologists, radiation oncologists, and surgical oncologists. The book also serves as a review for medical oncology and radiation oncology residents or fellows preparing for in-service and board exams. All examples are relevant to oncology and demonstrate how to apply core conceptual knowledge and applicable methods related to hypothesis testing, correlation and regression, categorical data analysis and survival analysis to the field of oncology. The book also provides guidance on the fundamentals of study design and analysis. Written for oncologists by oncologists, this practical text demystifies challenging statistical concepts and provides concise direction on how to interpret, analyze, and critique data in oncology publications, as well as how to apply statistical knowledge to understanding, designing, and analyzing clinical trials. With practical problem sets and twenty-five multiple choice practice questions with answers, the book is an indispensable review for anyone preparing for in-service exams, boards, MOC, or looking to hone a lifelong skill. Key Features: Practically explains biostatistics concepts important for passing the hematology, medical oncology, and radiation oncology boards and MOC exams. Provides guidance on how to read, understand, and critique data in oncology publications. Gives relevant examples that are important for analyzing data in oncology, including the design and analysis of clinical trials. Tests your comprehension of key biostatistical concepts with problem sets at the end of each section and a final section devoted to board-style multiple choice questions and answers Includes digital access to the eBook


Book Synopsis Biostatistics for Oncologists by : Kara-Lynne Leonard, MD, MS

Download or read book Biostatistics for Oncologists written by Kara-Lynne Leonard, MD, MS and published by Springer Publishing Company. This book was released on 2018-04-28 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biostatistics for Oncologists is the first practical guide providing the essential biostatistical concepts, oncology-specific examples, and applicable problem sets for medical oncologists, radiation oncologists, and surgical oncologists. The book also serves as a review for medical oncology and radiation oncology residents or fellows preparing for in-service and board exams. All examples are relevant to oncology and demonstrate how to apply core conceptual knowledge and applicable methods related to hypothesis testing, correlation and regression, categorical data analysis and survival analysis to the field of oncology. The book also provides guidance on the fundamentals of study design and analysis. Written for oncologists by oncologists, this practical text demystifies challenging statistical concepts and provides concise direction on how to interpret, analyze, and critique data in oncology publications, as well as how to apply statistical knowledge to understanding, designing, and analyzing clinical trials. With practical problem sets and twenty-five multiple choice practice questions with answers, the book is an indispensable review for anyone preparing for in-service exams, boards, MOC, or looking to hone a lifelong skill. Key Features: Practically explains biostatistics concepts important for passing the hematology, medical oncology, and radiation oncology boards and MOC exams. Provides guidance on how to read, understand, and critique data in oncology publications. Gives relevant examples that are important for analyzing data in oncology, including the design and analysis of clinical trials. Tests your comprehension of key biostatistical concepts with problem sets at the end of each section and a final section devoted to board-style multiple choice questions and answers Includes digital access to the eBook

Handbook of Statistics in Clinical Oncology

Handbook of Statistics in Clinical Oncology

Author: John Crowley

Publisher: CRC Press

Published: 2001-04-27

Total Pages: 566

ISBN-13: 9780824790257

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This book compiles state-of-the-art statistical approaches to solving problems in clinical oncology, focusing on clinical trials in phases I, II, and III, as well as quality of life and economic analyses, and exploratory methods. Examines trial design treatment based on toxicity and survival! Featuring over 1000 references, more than 40 world-renowned contributors, and 300 equations, tables, and drawings, the Handbook of Statistics in Clinical Oncology provides a comprehensive discussion of sample size considers analytical problems generated by controlling treatment costs and maintaining quality of life demonstrates the breadth and depth of current activity in the field of survival analysis sets the limits on what can and cannot be concluded from single and multiple clinical trials and more! The best single source for up-to-date graphical, tree-based, and other statistical methods, the Handbook of Statistics in Clinical Oncology is fascinating reading for oncologists, cancer researchers, biostatisticians, applied statisticians, and medical and graduate students in these disciplines.


Book Synopsis Handbook of Statistics in Clinical Oncology by : John Crowley

Download or read book Handbook of Statistics in Clinical Oncology written by John Crowley and published by CRC Press. This book was released on 2001-04-27 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book compiles state-of-the-art statistical approaches to solving problems in clinical oncology, focusing on clinical trials in phases I, II, and III, as well as quality of life and economic analyses, and exploratory methods. Examines trial design treatment based on toxicity and survival! Featuring over 1000 references, more than 40 world-renowned contributors, and 300 equations, tables, and drawings, the Handbook of Statistics in Clinical Oncology provides a comprehensive discussion of sample size considers analytical problems generated by controlling treatment costs and maintaining quality of life demonstrates the breadth and depth of current activity in the field of survival analysis sets the limits on what can and cannot be concluded from single and multiple clinical trials and more! The best single source for up-to-date graphical, tree-based, and other statistical methods, the Handbook of Statistics in Clinical Oncology is fascinating reading for oncologists, cancer researchers, biostatisticians, applied statisticians, and medical and graduate students in these disciplines.

Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences

Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences

Author: Pradip Debnath

Publisher: CRC Press

Published: 2021-07-15

Total Pages: 232

ISBN-13: 1000409813

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Soft computing techniques are no longer limited to the arena of computer science. The discipline has an exponentially growing demand in other branches of science and engineering and even into health and social science. This book contains theory and applications of soft computing in engineering, health, and social and applied sciences. Different soft computing techniques such as artificial neural networks, fuzzy systems, evolutionary algorithms and hybrid systems are discussed. It also contains important chapters in machine learning and clustering. This book presents a survey of the existing knowledge and also the current state of art development through original new contributions from the researchers. This book may be used as a one-stop reference book for a broad range of readers worldwide interested in soft computing. In each chapter, the preliminaries have been presented first and then the advanced discussion takes place. Learners and researchers from a wide variety of backgrounds will find several useful tools and techniques to develop their soft computing skills. This book is meant for graduate students, faculty and researchers willing to expand their knowledge in any branch of soft computing. The readers of this book will require minimum prerequisites of undergraduate studies in computation and mathematics.


Book Synopsis Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences by : Pradip Debnath

Download or read book Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences written by Pradip Debnath and published by CRC Press. This book was released on 2021-07-15 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing techniques are no longer limited to the arena of computer science. The discipline has an exponentially growing demand in other branches of science and engineering and even into health and social science. This book contains theory and applications of soft computing in engineering, health, and social and applied sciences. Different soft computing techniques such as artificial neural networks, fuzzy systems, evolutionary algorithms and hybrid systems are discussed. It also contains important chapters in machine learning and clustering. This book presents a survey of the existing knowledge and also the current state of art development through original new contributions from the researchers. This book may be used as a one-stop reference book for a broad range of readers worldwide interested in soft computing. In each chapter, the preliminaries have been presented first and then the advanced discussion takes place. Learners and researchers from a wide variety of backgrounds will find several useful tools and techniques to develop their soft computing skills. This book is meant for graduate students, faculty and researchers willing to expand their knowledge in any branch of soft computing. The readers of this book will require minimum prerequisites of undergraduate studies in computation and mathematics.

Clinical Trial Biostatistics and Biopharmaceutical Applications

Clinical Trial Biostatistics and Biopharmaceutical Applications

Author: Walter R. Young

Publisher: CRC Press

Published: 2014-11-20

Total Pages: 574

ISBN-13: 1482212196

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Since 1945, "The Annual Deming Conference on Applied Statistics" has been an important event in the statistics profession. In Clinical Trial Biostatistics and Biopharmaceutical Applications, prominent speakers from past Deming conferences present novel biostatistical methodologies in clinical trials as well as up-to-date biostatistical applications


Book Synopsis Clinical Trial Biostatistics and Biopharmaceutical Applications by : Walter R. Young

Download or read book Clinical Trial Biostatistics and Biopharmaceutical Applications written by Walter R. Young and published by CRC Press. This book was released on 2014-11-20 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since 1945, "The Annual Deming Conference on Applied Statistics" has been an important event in the statistics profession. In Clinical Trial Biostatistics and Biopharmaceutical Applications, prominent speakers from past Deming conferences present novel biostatistical methodologies in clinical trials as well as up-to-date biostatistical applications

Textbook of Clinical Trials in Oncology

Textbook of Clinical Trials in Oncology

Author: Susan Halabi

Publisher: CRC Press

Published: 2019-04-24

Total Pages: 626

ISBN-13: 1351620975

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There is an increasing need for educational resources for statisticians and investigators. Reflecting this, the goal of this book is to provide readers with a sound foundation in the statistical design, conduct, and analysis of clinical trials. Furthermore, it is intended as a guide for statisticians and investigators with minimal clinical trial experience who are interested in pursuing a career in this area. The advancement in genetic and molecular technologies have revolutionized drug development. In recent years, clinical trials have become increasingly sophisticated as they incorporate genomic studies, and efficient designs (such as basket and umbrella trials) have permeated the field. This book offers the requisite background and expert guidance for the innovative statistical design and analysis of clinical trials in oncology. Key Features: Cutting-edge topics with appropriate technical background Built around case studies which give the work a "hands-on" approach Real examples of flaws in previously reported clinical trials and how to avoid them Access to statistical code on the book’s website Chapters written by internationally recognized statisticians from academia and pharmaceutical companies Carefully edited to ensure consistency in style, level, and approach Topics covered include innovating phase I and II designs, trials in immune-oncology and rare diseases, among many others


Book Synopsis Textbook of Clinical Trials in Oncology by : Susan Halabi

Download or read book Textbook of Clinical Trials in Oncology written by Susan Halabi and published by CRC Press. This book was released on 2019-04-24 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is an increasing need for educational resources for statisticians and investigators. Reflecting this, the goal of this book is to provide readers with a sound foundation in the statistical design, conduct, and analysis of clinical trials. Furthermore, it is intended as a guide for statisticians and investigators with minimal clinical trial experience who are interested in pursuing a career in this area. The advancement in genetic and molecular technologies have revolutionized drug development. In recent years, clinical trials have become increasingly sophisticated as they incorporate genomic studies, and efficient designs (such as basket and umbrella trials) have permeated the field. This book offers the requisite background and expert guidance for the innovative statistical design and analysis of clinical trials in oncology. Key Features: Cutting-edge topics with appropriate technical background Built around case studies which give the work a "hands-on" approach Real examples of flaws in previously reported clinical trials and how to avoid them Access to statistical code on the book’s website Chapters written by internationally recognized statisticians from academia and pharmaceutical companies Carefully edited to ensure consistency in style, level, and approach Topics covered include innovating phase I and II designs, trials in immune-oncology and rare diseases, among many others