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Advances in Statistical Methods for the Health Sciences

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Release : 2007-08-08
Genre : Mathematics
Kind : eBook
Book Rating : 42X/5 ( reviews)

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Book Synopsis Advances in Statistical Methods for the Health Sciences by : Jean-Louis Auget

Download or read book Advances in Statistical Methods for the Health Sciences written by Jean-Louis Auget. This book was released on 2007-08-08. Available in PDF, EPUB and Kindle. Book excerpt: Statistical methods have become an increasingly important and integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained comprehensive volume covers a wide range of topics pertaining to new statistical methods in the health sciences, including epidemiology, pharmacovigilance, quality of life, survival analysis, and genomics. The book will serve the health science community as well as practitioners, researchers, and graduate students in applied probability, statistics, and biostatistics.

Advances in Statistical Methods for the Health Sciences

Download Advances in Statistical Methods for the Health Sciences PDF Online Free

Author :
Release : 2006-11-22
Genre : Mathematics
Kind : eBook
Book Rating : 683/5 ( reviews)

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Book Synopsis Advances in Statistical Methods for the Health Sciences by : Jean-Louis Auget

Download or read book Advances in Statistical Methods for the Health Sciences written by Jean-Louis Auget. This book was released on 2006-11-22. Available in PDF, EPUB and Kindle. Book excerpt: Statistical methods have become an increasingly important and integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained comprehensive volume covers a wide range of topics pertaining to new statistical methods in the health sciences, including epidemiology, pharmacovigilance, quality of life, survival analysis, and genomics. The book will serve the health science community as well as practitioners, researchers, and graduate students in applied probability, statistics, and biostatistics.

Advanced Statistical Methods in Data Science

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Release : 2016-11-30
Genre : Mathematics
Kind : eBook
Book Rating : 940/5 ( reviews)

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Book Synopsis Advanced Statistical Methods in Data Science by : Ding-Geng Chen

Download or read book Advanced Statistical Methods in Data Science written by Ding-Geng Chen. This book was released on 2016-11-30. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data sciences and to allow researchers to exchange ideas on statistics and data science and to embraces the challenges and opportunities of statistics and data science in the modern world. It addresses diverse themes in advanced statistical analysis in big-data sciences, including methods for administrative data analysis, survival data analysis, missing data analysis, high-dimensional and genetic data analysis, longitudinal and functional data analysis, the design and analysis of studies with response-dependent and multi-phase designs, time series and robust statistics, statistical inference based on likelihood, empirical likelihood and estimating functions. The editorial group selected 14 high-quality presentations from this successful symposium and invited the presenters to prepare a full chapter for this book in order to disseminate the findings and promote further research collaborations in this area. This timely book offers new methods that impact advanced statistical model development in big-data sciences.

Statistics for the Health Sciences

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Release : 2012-03-19
Genre : Social Science
Kind : eBook
Book Rating : 235/5 ( reviews)

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Book Synopsis Statistics for the Health Sciences by : Christine Dancey

Download or read book Statistics for the Health Sciences written by Christine Dancey. This book was released on 2012-03-19. Available in PDF, EPUB and Kindle. Book excerpt: Statistics for the Health Sciences is a highly readable and accessible textbook on understanding statistics for the health sciences, both conceptually and via the SPSS programme. The authors give clear explanations of the concepts underlying statistical analyses and descriptions of how these analyses are applied in health science research without complex maths formulae. The textbook takes students from the basics of research design, hypothesis testing and descriptive statistical techniques through to more advanced inferential statistical tests that health science students are likely to encounter. The strengths and weaknesses of different techniques are critically appraised throughout, and the authors emphasise how they may be used both in research and to inform best practice care in health settings. Exercises and tips throughout the book allow students to practice using SPSS. The companion website provides further practical experience of conducting statistical analyses. Features include: • multiple choice questions for both student and lecturer use • full Powerpoint slides for lecturers • practical exercises using SPSS • additional practical exercises using SAS and R This is an essential textbook for students studying beginner and intermediate level statistics across the health sciences.

Modern Statistical Methods for Health Research

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Release : 2021-10-14
Genre : Medical
Kind : eBook
Book Rating : 379/5 ( reviews)

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Book Synopsis Modern Statistical Methods for Health Research by : Yichuan Zhao

Download or read book Modern Statistical Methods for Health Research written by Yichuan Zhao. This book was released on 2021-10-14. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together the voices of leading experts in the frontiers of biostatistics, biomedicine, and the health sciences to discuss the statistical procedures, useful methods, and novel applications in biostatistics research. It also includes discussions of potential future directions of biomedicine and new statistical developments for health research, with the intent of stimulating research and fostering the interactions of scholars across health research related disciplines. Topics covered include: Health data analysis and applications to EHR data Clinical trials, FDR, and applications in health science Big network analytics and its applications in GWAS Survival analysis and functional data analysis Graphical modelling in genomic studies The book will be valuable to data scientists and statisticians who are working in biomedicine and health, other practitioners in the health sciences, and graduate students and researchers in biostatistics and health.

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