Inference Principles for Biostatisticians

Name: Inference Principles for Biostatisticians
Brand: Unknown
SKU: 9781482222234
Price: 212.0 NZD
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By Ian C. Marschner

Series: Chapman & Hall/CRC Biostatistics Series

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Summary

Inference Principles for Biostatisticians offers a comprehensive introduction to the theoretical and conceptual foundations of biostatistics. It is tailored for both students training to become biostatisticians and practising professionals in the field. The book emphasises the main principles of statistical inference, supported by numerous examples, exercises, and extended case studies that use biostatistical contexts.

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

$212⁰⁰

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Inference Principles for Biostatisticians

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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.

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

Collections

Education & Reference Ian C. Marschner Non-Fiction Science & Nature Series: Chapman & Hall/CRC Biostatistics Series

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.