Leseprobe
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Biostatistics for Oncologists
Adam Sullivan, Kara-Lynne Leonard
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Naturwissenschaften, Medizin, Informatik, Technik / Medizin
Beschreibung
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
Kundenbewertungen
survival analysis methods, study design, clinical trials, statistical estimation, noninferiority analysis, regression, biostatistics, cohort studies, categorical data analysis, matched studies, oncology board exams, sampling, cross-sectional studies, hypothesis testing, case-control studies, correlation