Handbook of Statistics in Clinical Oncology
4.960 ₽
Название: Handbook of Statistics in Clinical Oncology
Формат: PDF
Тема: Медицина
Количество страниц: 540
Качество: Компьютерное, издательское
Since the third edition of this handbook, significant advances have transformed the field of oncology. Most cancer types now offer multiple treatment options, with immunotherapies and targeted therapies becoming the standard of care. Master protocols, which allow the addition of new treatment arms without requiring new protocols, have gained popularity―not only to expedite the approval process for new therapies but also to ensure that patients receive the most beneficial treatments tailored to their individual needs. This revised edition features contributions from leading cancer trial statisticians, providing expert insights into modern oncology trial design and methodology. The handbook is structured into five key parts:
Part 1: Cancer prevention and screening trial designs, including risk prediction models and prevention trials
Part 2: Early-phase trial designs, covering dose-finding studies, selection designs, and multi-strata trials
Part 3: Late-stage trial designs, including approaches for IO therapies, cure-rate models, targeted agents, and considerations for pediatric oncology trials
Part 4: Trial conduct and operations, addressing best practices for Data Monitoring Committees (DMCs), SWOG/CRAB calculators, pragmatic trials, and clinical trial innovation
Part 5: Beyond primary endpoints, exploring surrogate endpoints, microbiome research, patient-reported outcomes (PROs), and tree-based partitioning methods
Описание
Handbook of Statistics in Clinical Oncology — практическое руководство по применению статистических методов в клинических исследованиях онкологических заболеваний. Книга объясняет, как правильно планировать, анализировать и интерпретировать данные в онкологии, где высокая вариабельность результатов и сложные конечные точки делают стандартные подходы недостаточными.
Авторы подробно разбирают дизайн исследований, анализ выживаемости, оценку качества жизни, байесовские методы, адаптивные дизайны и современные подходы к анализу больших данных в онкологии. Особое внимание уделяется типичным ошибкам и особенностям интерпретации результатов в клинической практике.
- онкологам и клиническим исследователям, работающим с данными
- биостатистикам, специализирующимся на онкологии
- врачам, читающим и критически оценивающим научную литературу
- студентам и аспирантам медицинских и биологических специальностей
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