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Download Methods of Clinical Epidemiology (Springer Series on Epidemiology and Public Health)

Download Methods of Clinical Epidemiology (Springer Series on Epidemiology and Public Health)

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Methods of Clinical Epidemiology (Springer Series on Epidemiology and Public Health)

Methods of Clinical Epidemiology (Springer Series on Epidemiology and Public Health)


Methods of Clinical Epidemiology (Springer Series on Epidemiology and Public Health)


Download Methods of Clinical Epidemiology (Springer Series on Epidemiology and Public Health)

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Methods of Clinical Epidemiology (Springer Series on Epidemiology and Public Health)

From the Back Cover

This book provides an introduction to the common research methodology specific to clinical epidemiology for both students and researchers. The goal of the book is to fill the gap left by texts that concentrate on public health epidemiology and focuses on what is not covered well in such publications. The four sections of the book cover methods that have not previously been brought together in one volume and serve as a second level textbook of clinical epidemiology methods. Some of the most important topics included in this volume are: clinical agreement in quantitative measurements, interpretation of diagnostic tests, sample size considerations, modelling time-to-event data and meta-analysis. The book will be useful for clinical researchers as well as for postgraduate students in clinical epidemiology. In this second edition, sections related to modeling of binary outcomes and research synthesis methods have been extensively updated.  

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About the Author

Suhail Doi is associate professor of clinical epidemiology at the University of Queensland. He is involved in teaching, student supervision, curriculum development and research. He has published widely and his interest lies in research that addresses unanswered questions in patient care as well as questions related to methods of research design and analysis used in medicine. Thus his research focuses on patient care topics such as epidemiology, prognosis and treatments of disease as well as methodology especially that related to meta-analysis. He is the co-author of the Doi–Thalib method for meta-analysis which was introduced in 2008 as an alternative to the random effects model. Gail Williams is professor of international health statistics at the University of Queensland. She has had long involvement in curriculum development and teaching in graduate programs in biostatistics and epidemiology, as well as consulting in clinical medicine and public health. Her specific areas of expertise include design and analysis of longitudinal studies, clinical and field intervention trials, survey design, and mathematical modelling. The focus of her applied research has been maternal and child health, a range of infectious diseases, and skin cancer. Her methodological areas of interest lie in statistical and mathematical modelling and approaches to dealing with attrition in longitudinal studies.

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Product details

Series: Springer Series on Epidemiology and Public Health

Hardcover

Publisher: Springer; 2nd ed. 2020 edition (October 5, 2019)

Language: English

ISBN-10: 3319653334

ISBN-13: 978-3319653334

Product Dimensions:

6.1 x 9.2 inches

Shipping Weight: 1.7 pounds (View shipping rates and policies)

Average Customer Review:

4.0 out of 5 stars

2 customer reviews

Amazon Best Sellers Rank:

#7,717,296 in Books (See Top 100 in Books)

Methods in Clinical EpidemiologySpringer-Verlag: Berlin, Heidelberg, New YorkJoseph Grenier MD PhD MPHThis is an excellent book on statistical and mathematical epidemiology as it applies to diagnostics and treatment outcomes of medical conditions. Probability theory and various logistical and logistical-regression techniques are employed to illustrate the information presented.. There are chapters on diagnostics, treatments, and complications with predictions included. Several clinical cases and epi problems with solutions are included. Charts, tables, graphs, and equations are included throughout the discussions. Clinical trials, and meta-analyses are described with excellent coherent models used. There are no real deficiencies. This is a good book for PH students and researchers.

This book addresses topics that are important to health researchers that is not typically covered by other epidemiology/methods textbooks, such as inter rater agreement. All researchers will find this book super useful. It is straightforward to follow.

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