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CRC Press Confidence Intervals for Discrete Data in Research

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Description

Navigating the complexities of binomial and multinomial data is a common challenge for biomedical researchers. Confidence Intervals for Discrete Data in Clinical Research serves as a specialized toolbox to help you manage these difficulties. While the many methodologies available in current literature can provide deep avenues for data exploration, they often present competing approaches that lead to conflicting inferences. This confusion can cause frustration during the research process. Part of the Chapman and Hall/CRC Biostatistics Series, this book provides the necessary guidance to address inferential questions regarding discrete data. By offering clarity on these methodologies, it helps researchers move past the confusion caused by wide-ranging statistical options. This resource is designed to support those working in clinical research who need reliable methods for analyzing discrete data sets effectively.

Key Features

Acts as a practical toolbox specifically designed for the needs of biomedical researchers.

Provides guidance on addressing inferential questions for both binomial and multinomial data.

Helps resolve confusion caused by competing methodologies found in existing literature.

Offers a way to navigate the complex array of methodologies used for discrete data analysis.

Part of the professional Chapman and Hall/CRC Biostatistics Series for academic and clinical use.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
15 November 2021
Listed Since
04 November 2017

Barcode

No barcode data available

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