Preventing and Treating Missing Data in Longitudinal Clinical Trials: A Practical Guide (Practical Guides to Biostatistics and Epidemiology)
$18.11
Description
Book Synopsis: Recent decades have brought advances in statistical theory for missing data, which, combined with advances in computing ability, have allowed implementation of a wide array of analyses. In fact, so many methods are available that it can be difficult to ascertain when to use which method. This book focuses on the prevention and treatment of missing data in longitudinal clinical trials. Based on his extensive experience with missing data, the author offers advice on choosing analysis methods and on ways to prevent missing data through appropriate trial design and conduct. He offers a practical guide to key principles and explains analytic methods for the non-statistician using limited statistical notation and jargon. The book's goal is to present a comprehensive strategy for preventing and treating missing data, and to make available the programs used to conduct the analyses of the example dataset.
Details
Are you tired of struggling with missing data in your longitudinal clinical trials? Look no further! Introducing "Preventing and Treating Missing Data in Longitudinal Clinical Trials: A Practical Guide," a comprehensive book that will revolutionize your approach to data analysis. With recent advances in statistical theory and computing power, this guide offers practical solutions to prevent and treat missing data, ensuring accurate and reliable results.
With so many methods available, it can be overwhelming to choose the right analysis approach. That's where this book comes in. Drawing on the author's extensive expertise in handling missing data, you'll gain invaluable insights into selecting the most appropriate analysis methods for your specific trials. Say goodbye to uncertainty and hello to confidence in your data analysis!
Don't worry if you're not a statistics expert – this book is written with the non-statistician in mind. You'll find limited statistical notation and jargon, making it accessible and easy to understand. Whether you're a researcher, scientist, or healthcare professional, "Preventing and Treating Missing Data in Longitudinal Clinical Trials: A Practical Guide" is your ultimate companion in navigating the complexities of missing data.
But wait, there's more! This book goes beyond theory and provides you with practical strategies for preventing missing data through trial design and conduct. By implementing these strategies, you'll reduce the chances of encountering missing data in the first place, saving you time and resources. Plus, you'll gain access to the analysis programs used in the example dataset, making it even easier to put the book's principles into action.
Don't let missing data hinder your progress in clinical trials. Take control of your data analysis with "Preventing and Treating Missing Data in Longitudinal Clinical Trials: A Practical Guide." Start maximizing the validity and reliability of your findings today. Click here to get your copy now!
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