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Inference Principles for Biostatisticians
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Summary
The author combines his teaching experience and pharmaceutical industry knowledge to clarify key concepts, often using simulation and simple R functions to demonstrate repeated sampling interpretations while minimising computational complexities. This ensures readers from diverse backgrounds in health, medical, social, and mathematical sciences build a solid foundation in biostatistical methodology.
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Format: Hardback
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
Ideal for graduate students in health, medical, social, and mathematical sciences, as well as practising biostatisticians seeking a deeper understanding of statistical inference principles in biostatistics.
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Book Hero Magic formatted this description to make it easier to read. While it's new and
still learning, it may not be perfect - your
feedback is welcome!
Description
Designed for students training to become biostatisticians as well as practising biostatisticians, Inference Principles for Biostatisticians presents the theoretical and conceptual foundations of biostatistics. It covers the theoretical underpinnings essential to understanding subsequent core methodologies in the field.
Drawing on his extensive experience teaching graduate-level biostatistics courses and working in the pharmaceutical industry, the author explains the main principles of statistical inference with many examples and exercises. Extended examples illustrate key concepts in depth using a specific biostatistical context. In addition, the author uses simulation to reinforce the repeated sampling interpretation of numerous statistical concepts. Reducing the computational complexities, he provides simple R functions for conducting simulation studies.
This text gives graduate students with diverse backgrounds across the health, medical, social, and mathematical sciences a solid, unified foundation in the principles of statistical inference. This groundwork will lead students to develop a thorough understanding of biostatistical methodology.
Book Details
INFORMATION
ISBN: 9781482222234
Publisher: Taylor & Francis Inc
Format: Hardback
Date Published: 11 December 2014
Country: United States
Imprint: Chapman & Hall/CRC
Illustration: 15 Tables, black and white; 28 Illustrations, black and white
Audience: Tertiary education, Professional and scholarly
DIMENSIONS
Width: 156.0mm
Height: 234.0mm
Weight: 530g
Pages: 274
About the Author
Ian C. Marschner is head of the Department of Statistics and a professor of statistics at Macquarie University. He is also a professor of biostatistics in the National Health and Medical Research Council (NHMRC) Clinical Trials Centre at the University of Sydney. He has over 25 years of experience as a biostatistician working on health and medical research, particularly involving clinical trials and epidemiological studies of cardiovascular disease, cancer, and HIV/AIDS. He was previously director of the Asia Biometrics Centre with Pfizer and an associate professor of biostatistics at Harvard University.
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