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Pharmacology. Therapy --- Mathematical statistics --- Clinical Trials as Topic --- Research --- Statistics as Topic --- Clinical trials --- methods --- Statistical methods --- Clinical Trials --- Statistics --- Statistical methods. --- methods. --- Clinical Trials as Topic - methods --- Research - methods --- Statistics as Topic - methods --- Clinical trials - Statistical methods
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Learn rigorous statistical methods to ensure valid clinical trialsThis Second Edition of the critically hailed Clinical Trials builds on the text's reputation as a straightforward and authoritative presentation of statistical methods for clinical trials. Readers are introduced to the fundamentals of design for various types of clinical trials and then skillfully guided through the complete process of planning the experiment, assembling a study cohort, assessing data, and reporting results. Throughout the process, the author alerts readers to problems that may arise during the course of
Pharmacology. Therapy --- Biomedical Research --- Clinical Trials --- Clinical trials --- Research --- Statistics --- methods. --- Statistical methods. --- Research Design --- Clinical Trials as Topic --- Statistics as Topic --- Statistical methods --- methods
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This Third Edition builds on the text's reputation as a straightforward, detailed, and authoritative presentation of quantitative methods for clinical trials. Readers will encounter the principles of design for various types of clinical trials, and are then skillfully guided through the complete process of planning the experiment, assembling a study cohort, assessing data, and reporting results. Throughout the process, the author alerts readers to problems that may arise during the course of the trial and provides common sense solutions.All stages of therapeutic development are discussed in detail, and the methods are not restricted to a single clinical application area. The author bases current revisions and updates on his own experience, classroom instruction, and feedback from teachers and medical and statistical professionals involved in clinical trials. The Third Edition greatly expands its coverage, ranging from statistical principles to new and provocative topics, including alternative medicine and ethics, middle development comparative studies, and adaptive designs.At the same time, it offers more pragmatic advice for issues such as selecting outcomes, sample size, analysis, reporting, and handling allegations of misconduct. Readers familiar with the First and Second Editions will discover revamped exercise sets, an updated and extensive reference section, new material on endpoints and the developmental pipeline, among others, and revisions of numerous sections.In addition, this book : - Features accessible and broad coverage of statistical design methods—the crucial building blocks of clinical trials and medical research—now complete with new chapters on overall development, middle development, comparative studies, and adaptive designs ; - Teaches readers to design clinical trials that produce valid qualitative results backed by rigorous statistical methods ; - Contains an introduction and summary in each chapter to reinforce key points ; - Includes discussion questions to stimulate critical thinking and help readers understand how they can apply their newfound knowledge ; - Provides extensive references to direct readers to the most recent literature ; - Includes numerous new or revised exercises throughout.
Mathematical statistics --- Pharmacology. Therapy --- Clinical trials --- Clinical Trials as Topic --- Research Design. --- Statistics as Topic --- Essais cliniques des médicaments --- Études cliniques --- Statistical methods. --- methods. --- Méthodologie. --- Statistical methods --- Clinical trials - Statistical methods --- Research Design --- methods --- Research - methods --- Statistics as Topic - methods
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"This Fourth Edition builds on the text's reputation as a straightforward, detailed, and authoritative presentation of quantitative methods for clinical trials. Readers will encounter principles of design for various types of clinical trials and are then skillfully guided through the complete process of planning the experiment, assembling a study cohort, assessing data, and reporting results. Throughout the process, the author alerts readers to problems that may arise during the course of a trial and provides common sense solutions. The Fourth Edition greatly expands its coverage, ranging from statistical principles to new and provocative topics, including four new chapters on generalizing results, operating characteristics, trial issues during the COVID-19 pandemic, and clinical trials using so-called "real world" data. Existing topics have been updated and expanded such as alternative medicine, ethics, middle development, comparative studies, and adaptive designs. Readers familiar with prior editions will discover revamped exercise sets; an updated and extensive reference section; new material on endpoints and the developmental pipeline, among others; and revisions of numerous sections."--
Clinical trials --- Clinical Trials as Topic --- Research Design --- Statistics as Topic --- Études cliniques --- Statistical methods. --- methods --- Méthodes statistiques. --- Statistical methods
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This is a comprehensive major reference work for our SpringerReference program covering clinical trials. Although the core of the Work will focus on the design, analysis, and interpretation of scientific data from clinical trials, a broad spectrum of clinical trial application areas will be covered in detail. This is an important time to develop such a Work, as drug safety and efficacy emphasizes the Clinical Trials process. Because of an immense and growing international disease burden, pharmaceutical and biotechnology companies continue to develop new drugs. Clinical trials have also become extremely globalized in the past 15 years, with over 225,000 international trials ongoing at this point in time.
Clinical trials. --- Statistics. --- Clinical trials --- Statistical methods. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Controlled clinical trials --- Patient trials of new treatments --- Randomized clinical trials --- Trials, Clinical --- Clinical medicine --- Human experimentation in medicine --- Research --- Assaigs clínics --- Assaigs terapèutics --- Estudis clínics --- Estudis terapèutics --- Experimentació humana en medicina
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This is a comprehensive major reference work for our SpringerReference program covering clinical trials. Although the core of the Work will focus on the analysis and interpretation of scientific data gleaned from the trial process, a broad spectrum of clinical trial principles and practice areas will be covered in detail. This is an important time to develop such a Work, as drug safety and efficacy cannot be guaranteed and regulated without the Clinical Trials process. Because of an immense and continuing to grow international disease burden, pharmaceutical and biotechnology companies continue to develop new drugs. Clinical trials have also become extremely globalized in the past 15 years, with over 225,000 international trials ongoing at this point in time. Principles in Practice of Clinical Trials is truly an interdisciplinary that will be divided into the following areas: 1) Clinical Trials Basic Perspectives 2) Regulation and Oversight 3) Basic Trial Designs 4) Advanced Trial Designs 5) Analysis 6) Trial Publication 7) Topics Related Specific Populations and Legal Aspects of Clinical Trials The Work is designed to be comprised of 175 chapters and approximately 2500 pages. The Work will be oriented like many of our SpringerReference Handbooks, presenting detailed and comprehensive expository chapters on broad subjects. The Editors are major figures in the field of clinical trials, and both have written textbooks on the topic. There will also be a slate of 7-8 renowned associate editors that will edit individual sections of the Reference.
Statistical science --- Biomathematics. Biometry. Biostatistics --- biomathematica --- statistiek
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Volume 1 Part I Perspectives on Clinical Trials – Part II Conduct and Management – Part III Regulation and Oversight – Volume 2 Part IV Bias Control and Precision – Part V Basics of Trial Design – Part VI Advanced Topics in Trial Design – Volume 3 Part VIII Analysis – Part VIII Publication and Related Issues – Part IX Special Topics
Mathematics --- Biomathematics. Biometry. Biostatistics --- Biology --- Computer science --- biomathematica --- biologie --- biostatistiek --- informatica --- biometrie --- wiskunde
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This is a comprehensive major reference work for our SpringerReference program covering clinical trials. Although the core of the Work will focus on the analysis and interpretation of scientific data gleaned from the trial process, a broad spectrum of clinical trial principles and practice areas will be covered in detail. This is an important time to develop such a Work, as drug safety and efficacy cannot be guaranteed and regulated without the Clinical Trials process. Because of an immense and continuing to grow international disease burden, pharmaceutical and biotechnology companies continue to develop new drugs. Clinical trials have also become extremely globalized in the past 15 years, with over 225,000 international trials ongoing at this point in time. Principles in Practice of Clinical Trials is truly an interdisciplinary that will be divided into the following areas: 1) Clinical Trials Basic Perspectives 2) Regulation and Oversight 3) Basic Trial Designs 4) Advanced Trial Designs 5) Analysis 6) Trial Publication 7) Topics Related Specific Populations and Legal Aspects of Clinical Trials The Work is designed to be comprised of 175 chapters and approximately 2500 pages. The Work will be oriented like many of our SpringerReference Handbooks, presenting detailed and comprehensive expository chapters on broad subjects. The Editors are major figures in the field of clinical trials, and both have written textbooks on the topic. There will also be a slate of 7-8 renowned associate editors that will edit individual sections of the Reference.
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