Handbook Of Statistics In Clinical Oncology Second Edition

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Handbook of Statistics in Clinical Oncology, Second Edition

Author : John Crowley
Publisher : Chapman and Hall/CRC
ISBN 13 : 9780824723392
Total Pages : 640 pages
Book Rating : 4.7/5 (233 download)

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

Download or read book Handbook of Statistics in Clinical Oncology, Second Edition written by John Crowley and published by Chapman and Hall/CRC. This book was released on 2005-12-01 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook of Statistics in Clinical Oncology, Third Edition

Author : John Crowley
Publisher : CRC Press
ISBN 13 : 1439862001
Total Pages : 661 pages
Book Rating : 4.4/5 (398 download)

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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.

Handbook of Statistics in Clinical Oncology

Author : John Crowley
Publisher : CRC Press
ISBN 13 : 142002776X
Total Pages : 642 pages
Book Rating : 4.4/5 (2 download)

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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 2005-12-01 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : John Crowley
Publisher : CRC Press
ISBN 13 : 9780824790257
Total Pages : 566 pages
Book Rating : 4.7/5 (92 download)

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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.

Advanced Medical Statistics (2nd Edition)

Author : Ying Lu
Publisher : World Scientific
ISBN 13 : 9814583324
Total Pages : 1471 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Advanced Medical Statistics (2nd Edition) by : Ying Lu

Download or read book Advanced Medical Statistics (2nd Edition) written by Ying Lu and published by World Scientific. This book was released on 2015-06-29 with total page 1471 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book aims to provide both comprehensive reviews of the classical methods and an introduction to new developments in medical statistics. The topics range from meta analysis, clinical trial design, causal inference, personalized medicine to machine learning and next generation sequence analysis. Since the publication of the first edition, there have been tremendous advances in biostatistics and bioinformatics. The new edition tries to cover as many important emerging areas and reflect as much progress as possible. Many distinguished scholars, who greatly advanced their research areas in statistical methodology as well as practical applications, also have revised several chapters with relevant updates and written new ones from scratch.The new edition has been divided into four sections, including, Statistical Methods in Medicine and Epidemiology, Statistical Methods in Clinical Trials, Statistical Genetics, and General Methods. To reflect the rise of modern statistical genetics as one of the most fertile research areas since the publication of the first edition, the brand new section on Statistical Genetics includes entirely new chapters reflecting the state of the art in the field.Although tightly related, all the book chapters are self-contained and can be read independently. The book chapters intend to provide a convenient launch pad for readers interested in learning a specific topic, applying the related statistical methods in their scientific research and seeking the newest references for in-depth research.

Biostatistics for Oncologists

Author : Kara-Lynne Leonard, MD, MS
Publisher : Springer Publishing Company
ISBN 13 : 0826168590
Total Pages : 202 pages
Book Rating : 4.8/5 (261 download)

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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 202 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

Clinical Trials in Oncology, Second Edition

Author : Stephanie Green
Publisher : Chapman and Hall/CRC
ISBN 13 : 9781584883029
Total Pages : 280 pages
Book Rating : 4.8/5 (83 download)

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Book Synopsis Clinical Trials in Oncology, Second Edition by : Stephanie Green

Download or read book Clinical Trials in Oncology, Second Edition written by Stephanie Green and published by Chapman and Hall/CRC. This book was released on 2002-07-30 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Studies that are unimpeachably thorough, non-political, unbiased, and properly designed... These are the standards to which everyone in clinical research aspires. Yet, the difficulties in designing trials and interpreting data are subtle and ever present. The new edition of Clinical Trials in Oncology provides a concise, nontechnical, and now thoroughly up-to-date review of methods and issues related to clinical trials. The authors emphasize the importance of proper study design, analysis, and data management and identify the major pitfalls that are seemingly inherent in these processes. This edition includes a new section that describes recent innovations in Phase I designs. Another new section on microarray data examines the challenges presented by massive data sets and describes approaches used to meet those challenges. As always, the authors use clear, lucid prose and a multitude of real-world trials as examples to convey the principles of successful trials without the need for a strong statistics or mathematics background. Although the book focuses on cancer trials, the issues and concepts are important in any clinical setting. Clinical Trials in Oncology, Second Edition works to improve the mutual understanding by clinicians and statisticians of the principles of clinical trials and helps them avoid the many hazards that can jeopardize the success of a trial.

Oncology Clinical Trials

Author : Susan Halabi, PhD
Publisher : Demos Medical Publishing
ISBN 13 : 1935281763
Total Pages : 396 pages
Book Rating : 4.9/5 (352 download)

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Book Synopsis Oncology Clinical Trials by : Susan Halabi, PhD

Download or read book Oncology Clinical Trials written by Susan Halabi, PhD and published by Demos Medical Publishing. This book was released on 2009-12-22 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clinical trials are the engine of progress in the development of new drugs and devices for the detection, monitoring, prevention and treatment of cancer. A well conceived, carefully designed and efficiently conducted clinical trial can produce results that change clinical practice overnight, deliver new oncology drugs and diagnostics to the marketplace, and expand the horizon of contemporary thinking about cancer biology. A poorly done trial does little to advance the field or guide clinical practice, consumes precious clinical and financial resources and challenges the validity of the ethical contract between investigators and the volunteers who willingly give their time and effort to benefit future patients. With chapters written by oncologists, researchers, biostatisticians, clinical research administrators, and industry and FDA representatives, Oncology Clinical Trials, provides a comprehensive guide for both early-career and senior oncology investigators into the successful design, conduct and analysis of an oncology clinical trial. Oncology Clinical Trials covers how to formulate a study question, selecting a study population, study design of Phase I, II, and III trials, toxicity monitoring, data analysis and reporting, use of genomics, cost-effectiveness analysis, systemic review and meta-analysis, and many other issues. Many examples of real-life flaws in clinical trials that have been reported in the literature are included throughout. The book discusses clinical trials from start to finish focusing on real-life examples in the development, design and analysis of clinical trials. Oncology Clinical Trials features: A systematic guide to all aspects of the design, conduct, analysis, and reporting of clinical trials in oncology Contributions from oncologists, researchers, biostatisticians, clinical research administrators, and industry and FDA representatives Hot topics in oncology trials including multi-arm trials, meta-analysis and adaptive design, use of genomics, and cost-effectiveness analysis Real-life examples from reported clinical trials included throughout

Statistical Design, Monitoring, and Analysis of Clinical Trials

Author : Weichung Joe Shih
Publisher : CRC Press
ISBN 13 : 1000462757
Total Pages : 405 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Statistical Design, Monitoring, and Analysis of Clinical Trials by : Weichung Joe Shih

Download or read book Statistical Design, Monitoring, and Analysis of Clinical Trials written by Weichung Joe Shih and published by CRC Press. This book was released on 2021-10-25 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Design, Monitoring, and Analysis of Clinical Trials, Second Edition concentrates on the biostatistics component of clinical trials. This new edition is updated throughout and includes five new chapters. Developed from the authors’ courses taught to public health and medical students, residents, and fellows during the past 20 years, the text shows how biostatistics in clinical trials is an integration of many fundamental scientific principles and statistical methods. The book begins with ethical and safety principles, core trial design concepts, the principles and methods of sample size and power calculation, and analysis of covariance and stratified analysis. It then focuses on sequential designs and methods for two-stage Phase II cancer trials to Phase III group sequential trials, covering monitoring safety, futility, and efficacy. The authors also discuss the development of sample size reestimation and adaptive group sequential procedures, phase 2/3 seamless design and trials with predictive biomarkers, exploit multiple testing procedures, and explain the concept of estimand, intercurrent events, and different missing data processes, and describe how to analyze incomplete data by proper multiple imputations. This text reflects the academic research, commercial development, and public health aspects of clinical trials. It gives students and practitioners a multidisciplinary understanding of the concepts and techniques involved in designing, monitoring, and analyzing various types of trials. The book’s balanced set of homework assignments and in-class exercises are appropriate for students and researchers in (bio)statistics, epidemiology, medicine, pharmacy, and public health.

Statistical Approaches in Oncology Clinical Development

Author : Satrajit Roychoudhury
Publisher : CRC Press
ISBN 13 : 1498772706
Total Pages : 237 pages
Book Rating : 4.4/5 (987 download)

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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.

Methods and Biostatistics in Oncology

Author : Raphael. L.C Araújo
Publisher : Springer
ISBN 13 : 3319713248
Total Pages : 354 pages
Book Rating : 4.3/5 (197 download)

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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 354 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.

Clinical Trials in Oncology, Third Edition

Author : Stephanie Green
Publisher : CRC Press
ISBN 13 : 1439814481
Total Pages : 266 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Clinical Trials in Oncology, Third Edition by : Stephanie Green

Download or read book Clinical Trials in Oncology, Third Edition written by Stephanie Green and published by CRC Press. This book was released on 2012-05-09 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: The third edition of the bestselling Clinical Trials in Oncology provides a concise, nontechnical, and thoroughly up-to-date review of methods and issues related to cancer clinical trials. The authors emphasize the importance of proper study design, analysis, and data management and identify the pitfalls inherent in these processes. In addition, the book has been restructured to have separate chapters and expanded discussions on general clinical trials issues, and issues specific to Phases I, II, and III. New sections cover innovations in Phase I designs, randomized Phase II designs, and overcoming the challenges of array data. Although this book focuses on cancer trials, the same issues and concepts are important in any clinical setting. As always, the authors use clear, lucid prose and a multitude of real-world examples to convey the principles of successful trials without the need for a strong statistics or mathematics background. Armed with Clinical Trials in Oncology, Third Edition, clinicians and statisticians can avoid the many hazards that can jeopardize the success of a trial.

Clinical Oncology /CD

Author : Raymond E Lenhard Jr
Publisher : Wiley-Blackwell
ISBN 13 : 9780944235157
Total Pages : 919 pages
Book Rating : 4.2/5 (351 download)

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Book Synopsis Clinical Oncology /CD by : Raymond E Lenhard Jr

Download or read book Clinical Oncology /CD written by Raymond E Lenhard Jr and published by Wiley-Blackwell. This book was released on 2000-12-27 with total page 919 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clinical Oncology, the American Cancer Society''s textbook of cancer, presents a wealth of information about the wide range of issues in cancer. This exciting new resource will help healthcare providers adopt practices to encourage prevention and early detection, as well as provide state-of-the-art diagnosis and treatment.

Medical Uses of Statistics, Second Edition

Author : Bailar/Mostelle
Publisher : CRC Press
ISBN 13 : 9780910133364
Total Pages : 488 pages
Book Rating : 4.1/5 (333 download)

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Book Synopsis Medical Uses of Statistics, Second Edition by : Bailar/Mostelle

Download or read book Medical Uses of Statistics, Second Edition written by Bailar/Mostelle and published by CRC Press. This book was released on 1992-03-01 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains the purpose of statistical methods in medical studies & analyzes the statistical techniques used by clinical investigators, with special emphasis on studies published in The New England Journal of Medicine. Clarifies fundamental concepts of statistical design & analysis & facilitates the understanding of research results.

Oxford Handbook of Medical Statistics

Author : Janet Peacock
Publisher : Oxford University Press
ISBN 13 : 0199551286
Total Pages : 540 pages
Book Rating : 4.1/5 (995 download)

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Book Synopsis Oxford Handbook of Medical Statistics by : Janet Peacock

Download or read book Oxford Handbook of Medical Statistics written by Janet Peacock and published by Oxford University Press. This book was released on 2011 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: The majority of medical research involves quantitative methods and so it is essential to be able to understand and interpret statistics. This book shows readers how to develop the skills required to critically appraise research evidence effectively, and how to conduct research and communicate their findings.

Introduction to Randomized Controlled Clinical Trials

Author : John N.S. Matthews
Publisher : CRC Press
ISBN 13 : 1420011308
Total Pages : 304 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Introduction to Randomized Controlled Clinical Trials by : John N.S. Matthews

Download or read book Introduction to Randomized Controlled Clinical Trials written by John N.S. Matthews and published by CRC Press. This book was released on 2006-06-26 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evidence from randomized controlled clinical trials is widely accepted as the only sound basis for assessing the efficacy of new medical treatments. Statistical methods play a key role in all stages of these trials, including their justification, design, and analysis. This second edition of Introduction to Randomized Controlled Clinical Trials prov

Clinical Prediction Models

Author : Ewout W. Steyerberg
Publisher : Springer
ISBN 13 : 3030163997
Total Pages : 558 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Clinical Prediction Models by : Ewout W. Steyerberg

Download or read book Clinical Prediction Models written by Ewout W. Steyerberg and published by Springer. This book was released on 2019-07-22 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 a valid 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