Statistical Methods for Evaluating Safety in Medical Product Development, Gould
Автор: Chen, Jie Название: Medical Product Safety Evaluation ISBN: 036757117X ISBN-13(EAN): 9780367571177 Издательство: Taylor&Francis Рейтинг: Цена: 48990.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Название: Medical Product Safety Evaluation ISBN: 1466508086 ISBN-13(EAN): 9781466508088 Издательство: Taylor&Francis Рейтинг: Цена: 117390.00 T Наличие на складе: Нет в наличии.
Автор: Ji-qian Fang Название: Statistical Methods For Biomedical Research ISBN: 9811228868 ISBN-13(EAN): 9789811228865 Издательство: World Scientific Publishing Рейтинг: Цена: 232320.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book consists of four parts with 32 chapters adapted for four short courses, from the basic to the advanced levels of medical statistics (biostatistics), ideal for biomedical students .
Автор: Ludwig Hothorn Название: Statistical Methods in Toxicology ISBN: 3540536213 ISBN-13(EAN): 9783540536215 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book contains selected papers from a workshop on modern statistical methods in toxicology held during the EUROTOX `90 conference in Leipzig. The most important features are: - A new view on the per-litter analysis problem in em- bryotoxicity assays. - A highly sophisticated treatment of the so-called muta-tox problem in mutagenicity assays.
Автор: Plichta Название: Munros Statistical methods health care 6E ISBN: 1451187947 ISBN-13(EAN): 9781451187946 Издательство: Lippincott Williams & Wilkins Рейтинг: Цена: 90370.00 T Наличие на складе: Невозможна поставка. Описание: This text provides students with a solid foundation for understanding data analysis and specific statistical techniques. Focusing on the most current and frequently used statistical methods in today's health care literature, the book covers essential material for a variety of program levels including in-depth courses beyond the basic statistics course. Well-organized, clear text discussions and great learning tools help students overcome the complexities and fully comprehend the concepts of this often intimidating area of study.
Автор: Earnest Название: Essentials of a Successful Biostatistical Collaboration ISBN: 1482226987 ISBN-13(EAN): 9781482226980 Издательство: Taylor&Francis Рейтинг: Цена: 73490.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The aim of this book is to equip biostatisticians and other quantitative scientists with the necessary skills, knowledge, and habits to collaborate effectively with clinicians in the healthcare field. The book provides valuable insight on where to look for information and material on sample size and statistical techniques commonly used in clinical research, and on how best to communicate with clinicians. It also covers the best practices to adopt in terms of project, time, and data management; relationship with collaborators; etc.
Автор: Cui, Xinping ; Dickhaus, Thorsten ; Ding, Ying Название: Handbook of Multiple Comparisons ISBN: 1032111550 ISBN-13(EAN): 9781032111551 Издательство: Taylor&Francis Рейтинг: Цена: 83690.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Maroof Название: Statistical Methods in Neuropsychology ISBN: 1489988440 ISBN-13(EAN): 9781489988447 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book brings together applied statistics and the specialized field of neuropsychology to simplify and demystify test results. It shows how to effectively translate psychometric test data into real-world clinical practice.
Автор: Altman Название: Practical Statistics for Medical Research ISBN: 0412276305 ISBN-13(EAN): 9780412276309 Издательство: Taylor&Francis Рейтинг: Цена: 117390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Primarily aimed at medical researchers, this book aims to provide an understanding of the basic principles that underlie research design, data analysis and the interpretation of results, and to enable the reader to carry out a wide range of statistical analyses.
Автор: Ton J. Cleophas; Aeilko H. Zwinderman Название: Clinical Data Analysis on a Pocket Calculator ISBN: 3319271032 ISBN-13(EAN): 9783319271033 Издательство: Springer Рейтинг: Цена: 78350.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book covers all relevant pocket calculator statistical methods, making it an ideal resource for those who wish to understand statistics but have no time for complex mathematics. It helps facilitate data analysis by detailing pocket calculator methods.
Using time-to-event analysis methodology requires careful definition of the event, censored observation, provision of adequate follow-up, number of events, and independence or noninformativeness of the censoring mechanisms relative to the event. Design and Analysis of Clinical Trials with Time-to-Event Endpoints provides a thorough presentation of the design, monitoring, analysis, and interpretation of clinical trials in which time-to-event is of critical interest.
After reviewing time-to-event endpoint methodology, clinical trial issues, and the design and monitoring of clinical trials, the book focuses on inferential analysis methods, including parametric, semiparametric, categorical, and Bayesian methods; an alternative to the Cox model for small samples; and estimation and testing for change in hazard. It then presents descriptive and graphical methods useful in the analysis of time-to-event endpoints. The next several chapters explore a variety of clinical trials, from analgesic, antibiotic, and antiviral trials to cardiovascular and cancer prevention, prostate cancer, astrocytoma brain tumor, and chronic myelogonous leukemia trials. The book then covers areas of drug development, medical practice, and safety assessment. It concludes with the design and analysis of clinical trials of animals required by the FDA for new drug applications.
Drawing on the expert contributors' experiences working in biomedical research and clinical drug development, this comprehensive resource covers an array of time-to-event methods and explores an assortment of real-world applications.
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