Applied Statistical Considerations for Clinical Researchers

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Publisher : Springer Nature
ISBN 13 : 3030874109
Total Pages : 249 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Applied Statistical Considerations for Clinical Researchers by : David Culliford

Download or read book Applied Statistical Considerations for Clinical Researchers written by David Culliford and published by Springer Nature. This book was released on 2021-11-18 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This essential book details intermediate-level statistical methods and frameworks for the clinician and medical researcher with an elementary grasp of health statistics and focuses on selecting the appropriate statistical method for many scenarios. Detailed evaluation of various methodologies familiarizes readers with the available techniques and equips them with the tools to select the best from a range of options. The inclusion of a hypothetical case study between a clinician and statistician charting the conception of the research idea through to results dissemination enables the reader to understand how to apply the concepts covered into their day-to-day clinical practice. Applied Statistical Considerations for Clinical Researchers focuses on how clinicians can approach statistical issues when confronted with a medical research problem by considering the data structure, how this relates to their study's aims and any potential knock-on effects relating to the evidence required to make correct clinical decisions. It covers the application of intermediate-level techniques in health statistics making it an ideal resource for the clinician seeking an up-to-date resource on the topic.

Handbook for Clinical Research

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Publisher : Demos Medical Publishing
ISBN 13 : 1936287544
Total Pages : 348 pages
Book Rating : 4.9/5 (362 download)

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Book Synopsis Handbook for Clinical Research by : Flora Hammond, MD

Download or read book Handbook for Clinical Research written by Flora Hammond, MD and published by Demos Medical Publishing. This book was released on 2014-08-26 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: The majority of physicians are poorly knowledgeable about statistics and research design, yet are expected to do clinical research and write articles (if in academia) or, at the very least, to read the literature critically and provide evidence-based care to patients. The basic skills involved are touched on very minimally in residency, but not in enough depth for an untrained investigator to successfully design or conduct a study, or analyze research findings in any meaningful way. This volume is intended as a “quick fix”, allowing readers to look up information rapidly about various design types and statistical methods to see what the pros, cons, and indications for each are. Research implementation, including regulatory issues and grant writing, is also covered. The book is unique in physical medicine and rehabilitation, and with the increased emphasis on outcomes measurement and push toward a national agenda for disability research, will appeal both to investigators planning and executing studies and clinicians looking to better understand how the findings impact their practice. A list of topics with an outline of headings for each of the sections is attached.

Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials

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Publisher : CRC Press
ISBN 13 : 1351214527
Total Pages : 218 pages
Book Rating : 4.3/5 (512 download)

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Book Synopsis Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials by : Mark Chang

Download or read book Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials written by Mark Chang and published by CRC Press. This book was released on 2019-03-20 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This is truly an outstanding book. [It] brings together all of the latest research in clinical trials methodology and how it can be applied to drug development.... Chang et al provide applications to industry-supported trials. This will allow statisticians in the industry community to take these methods seriously." Jay Herson, Johns Hopkins University The pharmaceutical industry's approach to drug discovery and development has rapidly transformed in the last decade from the more traditional Research and Development (R & D) approach to a more innovative approach in which strategies are employed to compress and optimize the clinical development plan and associated timelines. However, these strategies are generally being considered on an individual trial basis and not as part of a fully integrated overall development program. Such optimization at the trial level is somewhat near-sighted and does not ensure cost, time, or development efficiency of the overall program. This book seeks to address this imbalance by establishing a statistical framework for overall/global clinical development optimization and providing tactics and techniques to support such optimization, including clinical trial simulations. Provides a statistical framework for achieve global optimization in each phase of the drug development process. Describes specific techniques to support optimization including adaptive designs, precision medicine, survival-endpoints, dose finding and multiple testing. Gives practical approaches to handling missing data in clinical trials using SAS. Looks at key controversial issues from both a clinical and statistical perspective. Presents a generous number of case studies from multiple therapeutic areas that help motivate and illustrate the statistical methods introduced in the book. Puts great emphasis on software implementation of the statistical methods with multiple examples of software code (both SAS and R). It is important for statisticians to possess a deep knowledge of the drug development process beyond statistical considerations. For these reasons, this book incorporates both statistical and "clinical/medical" perspectives.

Statistical Methods in Medical Research

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Publisher : John Wiley & Sons
ISBN 13 : 1118702581
Total Pages : 832 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Statistical Methods in Medical Research by : Peter Armitage

Download or read book Statistical Methods in Medical Research written by Peter Armitage and published by John Wiley & Sons. This book was released on 2013-07-01 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: The explanation and implementation of statistical methods for themedical researcher or statistician remains an integral part ofmodern medical research. This book explains the use of experimentaland analytical biostatistics systems. Its accessible style allowsit to be used by the non-mathematician as a fundamental componentof successful research. Since the third edition, there have been many developments instatistical techniques. The fourth edition provides the medicalstatistician with an accessible guide to these techniques and toreflect the extent of their usage in medical research. The new edition takes a much more comprehensive approach to itssubject. There has been a radical reorganization of the text toimprove the continuity and cohesion of the presentation and toextend the scope by covering many new ideas now being introducedinto the analysis of medical research data. The authors have triedto maintain the modest level of mathematical exposition thatcharacterized the earlier editions, essentially confining themathematics to the statement of algebraic formulae rather thanpursuing mathematical proofs. Received the Highly Commended Certificate in the PublicHealth Category of the 2002 BMA BooksCompetition.

Medical Uses of Statistics

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Author :
Publisher : Wiley-Blackwell
ISBN 13 :
Total Pages : 540 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Medical Uses of Statistics by : John C. Bailar

Download or read book Medical Uses of Statistics written by John C. Bailar and published by Wiley-Blackwell. This book was released on 2009-07-14 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: Co-published with the New England Journal of Medicine, this book provides both the fundamental techniques and the state-of-the-art information for a clear and current understanding of the use of statistics in the fields of medicine, biostatistics and clinical research. The first and second editions of this book, published over a span of a quarter of a century, has been widely praised as a unique contribution to the field by a gratifying number of readers. Arising from the idea that readers of medicine need a clearer idea of how statistical techniques can be applied in current clinical studies, the editors have reorganized, revamped, and added to an already cogent presentation of recent developments, applicable methods, and best practices in this valuable third edition. This book provides both the fundamental techniques and the state-of-the-art information for a clear and current understanding of the use of statistics in the fields of medicine, biostatistics and clinical research.

Applied Categorical Data Analysis and Translational Research

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Publisher : John Wiley & Sons
ISBN 13 : 0470371307
Total Pages : 418 pages
Book Rating : 4.4/5 (73 download)

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Book Synopsis Applied Categorical Data Analysis and Translational Research by : Chap T. Le

Download or read book Applied Categorical Data Analysis and Translational Research written by Chap T. Le and published by John Wiley & Sons. This book was released on 2009-12-14 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: An updated treatment of categorical data analysis in the biomedical sciences that now explores applications to translational research Thoroughly updated with the latest advances in the field, Applied Categorical Data Analysis and Translational Research, Second Edition maintains the accessible style of its predecessor while also exploring the importance of translational research as it relates to basic scientific findings within clinical practice. With its easy-to-follow style, updated coverage of major methodologies, and broadened scope of coverage, this new edition provides an accessible guide to statistical methods involving categorical data and the steps to their application in problem solving in the biomedical sciences. Delving even further into the applied direction, this update offers many real-world examples from biomedicine, epidemiology, and public health along with detailed case studies taken straight from modern research in these fields. Additional features of the Second Edition include: A new chapter on the relationship between translational research and categorical data, focusing on design study, bioassay, and Phase I and Phase II clinical trials A new chapter on categorical data and diagnostic medicine, with coverage of the diagnostic process, prevalence surveys, the ROC function and ROC curve, and important statistical considerations A revised chapter on logistic regression models featuring an updated treatment of simple and multiple regression analysis An added section on quantal bioassays Each chapter features updated and new exercise sets along with numerous graphs that demonstrate the highly visual nature of the topic. A related Web site features the book's examples as well as additional data sets that can be worked with using SAS® software. The only book of its kind to provide balanced coverage of methods for both categorical data and translational research, Applied Categorical Data Analysis and Translational Research, Second Edition is an excellent book for courses on applied statistics and biostatistics at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners in the biomedical and public health fields.

Common Statistical Methods for Clinical Research with SAS Examples, Third Edition

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Publisher : SAS Institute
ISBN 13 : 1607644258
Total Pages : 553 pages
Book Rating : 4.6/5 (76 download)

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Book Synopsis Common Statistical Methods for Clinical Research with SAS Examples, Third Edition by : Glenn Walker

Download or read book Common Statistical Methods for Clinical Research with SAS Examples, Third Edition written by Glenn Walker and published by SAS Institute. This book was released on 2010-02-15 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Glenn Walker and Jack Shostak's Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, is a thoroughly updated edition of the popular introductory statistics book for clinical researchers. This new edition has been extensively updated to include the use of ODS graphics in numerous examples as well as a new emphasis on PROC MIXED. Straightforward and easy to use as either a text or a reference, the book is full of practical examples from clinical research to illustrate both statistical and SAS methodology. Each example is worked out completely, step by step, from the raw data. Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, is an applications book with minimal theory. Each section begins with an overview helpful to nonstatisticians and then drills down into details that will be valuable to statistical analysts and programmers. Further details, as well as bonus information and a guide to further reading, are presented in the extensive appendices. This text is a one-source guide for statisticians that documents the use of the tests used most often in clinical research, with assumptions, details, and some tricks--all in one place. This book is part of the SAS Press program.

Statistics Applied to Clinical Studies

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Publisher : Springer
ISBN 13 : 9789400794054
Total Pages : 0 pages
Book Rating : 4.7/5 (94 download)

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Book Synopsis Statistics Applied to Clinical Studies by : Ton J. Cleophas

Download or read book Statistics Applied to Clinical Studies written by Ton J. Cleophas and published by Springer. This book was released on 2014-04-16 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thanks to the omnipresent computer, current statistics can include data files of many thousands of values, and can perform any exploratory analysis in less than seconds. This development, however fascinating, generally does not lead to simple results. We should not forget that clinical studies are, mostly, for confirming prior hypotheses based on sound arguments, and the simplest tests provide the best power and are adequate for such studies. In the past few years the authors of this 5th edition, as teachers and research supervisors in academic and top-clinical facilities, have been able to closely observe the latest developments in the field of clinical data analysis, and they have been able to assess their performance. In this 5th edition the 47 chapters of the previous edition have been maintained and upgraded according to the current state of the art, and 20 novel chapters have been added after strict selection of the most valuable and promising novel methods. The novel methods are explained using practical examples and step-by-step analyses readily accessible for non-mathematicians. All of the novel chapters have been internationally published by the authors in peer-reviewed journal, including the American Journal of Therapeutics, the European Journal of Clinical Investigation, The International journal of Clinical Pharmacology and therapeutics, and other journals, and permission is granted by all of them to use this material in the current book. We should add that the authors are well-qualified in their fields of knowledge. Professor Zwinderman is president-elect of the International Society of Biostatistics, and Professor Cleophas is past-president of the American College of Angiology. From their expertise they should be able to make adequate selections of modern methods for clinical data analysis for the benefit of physicians, students, and investigators. The authors, although from a different discipline, one clinician and one statistician, have been working and publishing together for over 10 years, and their research of statistical methodology can be characterized as a continued effort to demonstrate that statistics is not mathematics but rather a discipline at the interface of biology and mathematics. They firmly believe that any reader can benefit from this clinical approach to statistical data analysis.

Modern Clinical Trial Analysis

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Publisher : Springer Science & Business Media
ISBN 13 : 1461443229
Total Pages : 256 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Modern Clinical Trial Analysis by : Wan Tang

Download or read book Modern Clinical Trial Analysis written by Wan Tang and published by Springer Science & Business Media. This book was released on 2012-09-05 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume covers classic as well as cutting-edge topics on the analysis of clinical trial data in biomedical and psychosocial research and discusses each topic in an expository and user-friendly fashion. The intent of the book is to provide an overview of the primary statistical and data analytic issues associated with each of the selected topics, followed by a discussion of approaches for tackling such issues and available software packages for carrying out analyses. While classic topics such as survival data analysis, analysis of diagnostic test data and assessment of measurement reliability are well known and covered in depth by available topic-specific texts, this volume serves a different purpose: it provides a quick introduction to each topic for self-learning, particularly for those who have not done any formal coursework on a given topic but must learn it due to its relevance to their multidisciplinary research. In addition, the chapters on these classic topics will reflect issues particularly relevant to modern clinical trials such as longitudinal designs and new methods for analyzing data from such study designs. The coverage of these topics provides a quick introduction to these important statistical issues and methods for addressing them. As with the classic topics, this part of the volume on modern topics will enable researchers to grasp the statistical methods for addressing these emerging issues underlying modern clinical trials and to apply them to their research studies.

Applied Epidemiologic Principles and Concepts

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Publisher : CRC Press
ISBN 13 : 1498733832
Total Pages : 316 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Applied Epidemiologic Principles and Concepts by : Laurens Holmes, Jr.

Download or read book Applied Epidemiologic Principles and Concepts written by Laurens Holmes, Jr. and published by CRC Press. This book was released on 2017-12-14 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides practical knowledge to clinicians and biomedical researchers using biological and biochemical specimen/samples in order to understand health and disease processes at cellular, clinical, and population levels. Concepts and techniques provided will help researchers design and conduct studies, then translate data from bench to clinics in attempt to improve the health of patients and populations. This book presents the extreme complexity of epidemiologic research in a concise manner that will address the issue of confounders, thus allowing for more valid inferences and yielding results that are more reliable and accurate.

Innovative Statistical Methods for Public Health Data

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Publisher : Springer
ISBN 13 : 3319185365
Total Pages : 351 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Innovative Statistical Methods for Public Health Data by : Ding-Geng (Din) Chen

Download or read book Innovative Statistical Methods for Public Health Data written by Ding-Geng (Din) Chen and published by Springer. This book was released on 2015-08-31 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book brings together experts working in public health and multi-disciplinary areas to present recent issues in statistical methodological development and their applications. This timely book will impact model development and data analyses of public health research across a wide spectrum of analysis. Data and software used in the studies are available for the reader to replicate the models and outcomes. The fifteen chapters range in focus from techniques for dealing with missing data with Bayesian estimation, health surveillance and population definition and implications in applied latent class analysis, to multiple comparison and meta-analysis in public health data. Researchers in biomedical and public health research will find this book to be a useful reference and it can be used in graduate level classes.

Design of Experiments and Advanced Statistical Techniques in Clinical Research

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Publisher : Springer Nature
ISBN 13 : 9811582106
Total Pages : 380 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Design of Experiments and Advanced Statistical Techniques in Clinical Research by : Basavarajaiah D. M.

Download or read book Design of Experiments and Advanced Statistical Techniques in Clinical Research written by Basavarajaiah D. M. and published by Springer Nature. This book was released on 2020-11-05 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent Statistical techniques are one of the basal evidence for clinical research, a pivotal in handling new clinical research and in evaluating and applying prior research. This book explores various choices of statistical tools and mechanisms, analyses of the associations among different clinical attributes. It uses advanced statistical methods to describe real clinical data sets, when the clinical processes being examined are still in the process. This book also discusses distinct methods for building predictive and probability distribution models in clinical situations and ways to assess the stability of these models and other quantitative conclusions drawn by realistic experimental data sets. Design of experiments and recent posthoc tests have been used in comparing treatment effects and precision of the experimentation. This book also facilitates clinicians towards understanding statistics and enabling them to follow and evaluate the real empirical studies (formulation of randomized control trial) that pledge insight evidence base for clinical practices. This book will be a useful resource for clinicians, postgraduates scholars in medicines, clinical research beginners and academicians to nurture high-level statistical tools with extensive scope.

Exploratory Subgroup Analyses in Clinical Research

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Publisher : John Wiley & Sons
ISBN 13 : 1119536952
Total Pages : 248 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Exploratory Subgroup Analyses in Clinical Research by : Gerd Rosenkranz

Download or read book Exploratory Subgroup Analyses in Clinical Research written by Gerd Rosenkranz and published by John Wiley & Sons. This book was released on 2020-01-06 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This essential guide on subgroup analyses in the emerging area of personalized medicine covers the issues of subgroup analyses from a practical and a theoretical/methodological point of view. The practical part introduces the issues using examples from the literature where subgroup analyses led to unexpected or difficult-to-interpret results, which have been interpreted differently by different stakeholders. On the technical side, the book addresses selection and selection bias variance reduction by borrowing information from the full population in estimating a subgroup effect. To this end, subgroup analysis will be linked to statistical modelling, and subgroup selection to model selection. This connection makes the techniques developed for model selection applicable to subgroup analysis. Beginning with a history of subgroup analysis, Exploratory Subgroup Analyses in Clinical Research offers chapters that cover: objectives and current practice of subgroup analyses; pitfalls of subgroup analyses; subgroup analysis and modeling; hierarchical models in subgroup analysis; and selection bias in regression. It also looks at the predicted individual treatment effect and offers an outlook of the topic in its final chapter. Focuses on the statistical aspects of subgroup analysis Filled with classroom and conference-workshop tested material Written by a leading expert in the field of subgroup analysis Complemented with a companion website featuring downloadable datasets and examples for teaching use Exploratory Subgroup Analyses in Clinical Research is an ideal book for medical statisticians and biostatisticians and will greatly benefit physicians and researchers interested in personalized medicine.

Applied Biostatistical Principles and Concepts

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Publisher : Routledge
ISBN 13 : 1315352214
Total Pages : 388 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Applied Biostatistical Principles and Concepts by : Laurens Holmes, Jr.

Download or read book Applied Biostatistical Principles and Concepts written by Laurens Holmes, Jr. and published by Routledge. This book was released on 2017-11-22 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past three decades have witnessed modern advances in statistical modeling and evidence discovery in biomedical, clinical, and population-based research. With these advances come the challenges in accurate model stipulation and application of models in scientific evidence discovery Applied Biostatistical Principles and Concepts provides practical knowledge using biological and biochemical specimen/samples in order to understand health and disease processes at cellular, clinical, and population levels. Concepts and techniques provided will help researchers design and conduct studies, then translate data from bench to clinics in attempt to improve the health of patients and populations. This book is suitable for both clinicians and health or biological sciences students. It presents the reality in statistical modelling of health research data in a concise manner that will address the issue of "big data" type I error tolerance and probability value, effect size and confidence interval for precision, effect measure modification and interaction as well as confounders, thus allowing for more valid inferences and yielding results that are more reliable, valid and accurate.

Statistics Applied to Clinical Trials

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Publisher : Springer Verlag
ISBN 13 : 9781402095221
Total Pages : 559 pages
Book Rating : 4.0/5 (952 download)

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Book Synopsis Statistics Applied to Clinical Trials by : Ton J. M. Cleophas

Download or read book Statistics Applied to Clinical Trials written by Ton J. M. Cleophas and published by Springer Verlag. This book was released on 2009 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: This fourth edition has been updated and extended to serve as a more complete guide and reference for students, physicians, and investigators, and, at the same time, preserves the common sense approach to statistical problem-solving of the previous editions.

Statistical Approaches in Oncology Clinical Development

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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.

Statistical Issues in Drug Research and Development

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Author :
Publisher : Routledge
ISBN 13 : 1351414437
Total Pages : 384 pages
Book Rating : 4.3/5 (514 download)

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Book Synopsis Statistical Issues in Drug Research and Development by : KarlE. Peace

Download or read book Statistical Issues in Drug Research and Development written by KarlE. Peace and published by Routledge. This book was released on 2017-09-19 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: