Daniel L. Gillen – författare
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3 produkter
3 produkter
Inbunden, Engelska, 2020
985 kr
Skickas inom 5-8 vardagar
Statistics in Medicine, Fourth Edition, helps medical and biomedical investigators design and answer questions about analyzing and interpreting data and predicting the sample size required to achieve useful results. It makes medical statistics easy for the non-biostatistician by outlining common methods used in 90% of medical research. The text covers how to plan studies from conception to publication, what to do with data, and follows with step-by-step instructions for biostatistical methods from the simplest levels, to more sophisticated methods now used in medical articles. Examples from almost every medical specialty, and from dentistry, nursing, pharmacy and health care management are provided.
This book does not require background knowledge of statistics or mathematics beyond high school algebra and provides abundant clinical examples and exercises to reinforce concepts. It is a valuable source for biomedical researchers, healthcare providers and anyone who conducts research or quality improvement projects.
Expands and revises important topics, such as basic concepts behind descriptive statistics and testing, descriptive statistics in three dimensions, the relationship between statistical testing and confidence intervals, and more Presents an easy-to-follow format with medical examples, step-by-step methods and check-yourself exercises Explains statistics for users with little statistical and mathematical background Encompasses all research development stages, from conceiving a study, planning it in detail, carrying out the methods, putting obtained data in analyzable form, analyzing and interpreting the results, and publishing the study
E-bok
Engelska, 20201 322 kr
Läs direkt efter köp
Statistics in Medicine, Fourth Edition, helps medical and biomedical investigators design and answer questions about analyzing and interpreting data and predicting the sample size required to achieve useful results. It makes medical statistics easy for the non-biostatistician by outlining common methods used in 90% of medical research. The text covers how to plan studies from conception to publication, what to do with data, and follows with step-by-step instructions for biostatistical methods from the simplest levels, to more sophisticated methods now used in medical articles. Examples from almost every medical specialty, and from dentistry, nursing, pharmacy and health care management are provided.This book does not require background knowledge of statistics or mathematics beyond high school algebra and provides abundant clinical examples and exercises to reinforce concepts. It is a valuable source for biomedical researchers, healthcare providers and anyone who conducts research or quality improvement projects.- Expands and revises important topics, such as basic concepts behind descriptive statistics and testing, descriptive statistics in three dimensions, the relationship between statistical testing and confidence intervals, and more- Presents an easy-to-follow format with medical examples, step-by-step methods and check-yourself exercises- Explains statistics for users with little statistical and mathematical background- Encompasses all research development stages, from conceiving a study, planning it in detail, carrying out the methods, putting obtained data in analyzable form, analyzing and interpreting the results, and publishing the study
Inbunden, Engelska, 2027
1 197 kr
Kommande
Statistics in Medicine, 5th Edition serves as an essential resource for health care students, professionals and researchers seeking to understand the application of statistical methods in medical research. This comprehensive text encompasses a wide range of topics, from foundational concepts to advanced techniques, ensuring that readers are well-equipped to design, analyse, and interpret health-related studies. The book includes updated chapters on critical subjects such as missing data, regression models for discrete outcomes, and the integration of machine learning and AI with statistical methodologies. Each chapter provides practical examples and step-by-step methodologies, enhancing the reader's understanding of complex concepts while reinforcing learning through exercises and real-world applications. For the academic audience, this book offers a user-friendly approach to medical statistics, making it accessible even to those with limited statistical training. By bridging the gap between theory and practice, it empowers health care professionals to conduct rigorous research, interpret findings accurately, and contribute meaningfully to advancements in medical science.Provides an extensive overview of statistical methods relevant to medical research, ensuring that readers grasp fundamental concepts and advanced techniques crucial for designing, analyzing, and interpreting studies in health careIncorporates medical examples, step-by-step methodologies, and check-yourself exercises, making complex statistical concepts accessible to readers with minimal statistical background, thereby facilitating effective learning and applicationIntroduces new chapters on contemporary topics such as missing data, regression models for discrete outcomes, and the interplay between statistics, machine learning, and AI, addressing the evolving landscape of medical statistics and research methodologies