Handbook of Regression and Modeling: Applications for the Clinical and Pharmaceutical Industries

The Handbook of Regression Analysis and Modeling is a comprehensive guide for clinical and pharmaceutical researchers and scientists, providing a six-step method for hypothesis testing and covering exploratory data analysis, statistical forecasting, and advanced methods. It assumes knowledge of basic and matrix algebra and includes a short course in the appendix.

Format: Paperback / softback
Length: 520 pages
Publication date: 21 January 2023
Publisher: Taylor & Francis Ltd

The Handbook of Regression Analysis and Modeling is a comprehensive resource designed specifically for clinical and pharmaceutical researchers and scientists. It delves into the realm of statistical methods that have been tailored to meet the demands of the rapidly evolving field of biostatistics. Authored by a renowned expert, the book offers a clear and concise six-step approach for conducting hypothesis testing using data that closely resembles real-life scenarios.

To enhance the accuracy and reliability of the analysis, the author extensively relies on computer software, including exploratory data analysis, to assess the model's fit to the actual data. This rigorous approach ensures that the models employed are robust and capable of capturing the intricate patterns and relationships present in the data.

The Handbook provides a systematic procedure for incorporating independent variables into the model variable and elucidates how to employ statistical forecasting methods to analyze serially correlated data, which is commonly encountered in clinical and pharmaceutical settings. The standalone chapters allow readers to selectively delve into the content that aligns with their immediate needs, making it an invaluable tool for focused learning.

Each example is presented in a computer software format, utilizing the popular MINITAB software. However, the author also provides instructions for using SAS and SPSSX, ensuring that the book can be easily adapted to individual situations and software preferences.

While the book assumes a basic understanding of basic and matrix algebra, it includes an appendix that offers a concise course on matrix algebra for readers who require additional foundational knowledge. This inclusion ensures that readers from diverse backgrounds can fully grasp the mathematical concepts and techniques employed in the analysis.

Beyond statistical theory, the Handbook of Regression Analysis and Modeling presents advanced methods that can be immediately applied to real-world scenarios. It covers a wide range of topics, including multiple linear regression, logistic regression, and nonlinear regression, providing practical insights and techniques for data analysis and interpretation.

In summary, the Handbook of Regression Analysis and Modeling is a indispensable resource for clinical and pharmaceutical researchers and scientists seeking to advance their understanding of statistical methods and their applications in biostatistics. With its comprehensive coverage, rigorous methodology, and user-friendly presentation, this book empowers researchers to make informed decisions based on data and drive innovation in the field.

Weight: 960g
Dimension: 229 x 152 (mm)
ISBN-13: 9781032477855