£108.00

Springer Designs for Clinical Trials - Applied Bioinformatics Cancer Research

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Description

This comprehensive guide examines current issues and controversies in clinical trial design, covering adaptive and sequential designs, correlative genomic studies, and strategies for managing anticipated missing data. Written by leading experts actively conducting research in their respective fields, each chapter provides in-depth perspectives on modern trial methodology. The collection serves as essential guidance for statisticians and researchers designing oncology trials, offering practical insights into contemporary challenges and solutions in cancer research protocol development.

Key Features

Springer publishes this applied bioinformatics resource specifically focused on cancer research trial methodology and statistical design principles.

Expert-authored chapters address adaptive designs, sequential designs, and genomic correlative studies central to modern oncology trials.

Guidance targets statisticians designing clinical trials, with practical perspectives on managing missing data and contemporary trial issues.

Part of the Applied Bioinformatics and Biostatistics in Cancer Research series, providing specialised knowledge for oncology research professionals.

Covers controversies and current issues in trial design, equipping researchers with solutions to real-world challenges in cancer studies.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
29 November 2013
Listed Since
01 November 2013

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