Analysis of Epidemiological Data Using R and Epicalc - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Analysis of Epidemiological Data Using R and Epicalc write by Virasakdi Chongsuvivatwong. This book was released on 2008. Analysis of Epidemiological Data Using R and Epicalc available in PDF, EPUB and Kindle.
Biostatistics for Epidemiology and Public Health Using R
Biostatistics for Epidemiology and Public Health Using R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Biostatistics for Epidemiology and Public Health Using R write by Bertram K.C. Chan, PhD. This book was released on 2015-11-05. Biostatistics for Epidemiology and Public Health Using R available in PDF, EPUB and Kindle. Since it first appeared in 1996, the open-source programming language R has become increasingly popular as an environment for statistical analysis and graphical output. In addition to being freely available, R offers several advantages for biostatistics, including strong graphics capabilities, the ability to write customized functions, and its extensibility. This is the first textbook to present classical biostatistical analysis for epidemiology and related public health sciences to students using the R language. Based on the assumption that readers have minimal familiarity with statistical concepts, the author uses a step-bystep approach to building skills. The text encompasses biostatistics from basic descriptive and quantitative statistics to survival analysis and missing data analysis in epidemiology. Illustrative examples, including real-life research problems and exercises drawn from such areas as nutrition, environmental health, and behavioral health, engage students and reinforce the understanding of R. These examples illustrate the replication of R for biostatistical calculations and graphical display of results. The text covers both essential and advanced techniques and applications in biostatistics that are relevant to epidemiology. This text is supplemented with teaching resources, including an online guide for students in solving exercises and an instructor's manual. KEY FEATURES: First overview biostatistics textbook for epidemiology and public health that uses the open-source R program Covers essential and advanced techniques and applications in biostatistics as relevant to epidemiology Features abundant examples and exercises to illustrate the application of R language for biostatistical calculations and graphical displays of results Includes online student solutions guide and instructor's manual
Statistical Methods for Hospital Monitoring with R
Statistical Methods for Hospital Monitoring with R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Methods for Hospital Monitoring with R write by Anthony Morton. This book was released on 2013-06-27. Statistical Methods for Hospital Monitoring with R available in PDF, EPUB and Kindle. Hospitals monitoring is becoming more complex and is increasing both because staff want their data analysed and because of increasing mandated surveillance. This book provides a suite of functions in R, enabling scientists and data analysts working in infection management and quality improvement departments in hospitals, to analyse their often non-independent data which is frequently in the form of trended, over-dispersed and sometimes auto-correlated time series; this is often difficult to analyse using standard office software. This book provides much-needed guidance on data analysis using R for the growing number of scientists in hospital departments who are responsible for producing reports, and who may have limited statistical expertise. This book explores data analysis using R and is aimed at scientists in hospital departments who are responsible for producing reports, and who are involved in improving safety. Professionals working in the healthcare quality and safety community will also find this book of interest Statistical Methods for Hospital Monitoring with R: Provides functions to perform quality improvement and infection management data analysis. Explores the characteristics of complex systems, such as self-organisation and emergent behaviour, along with their implications for such activities as root-cause analysis and the Pareto principle that seek few key causes of adverse events. Provides a summary of key non-statistical aspects of hospital safety and easy to use functions. Provides R scripts in an accompanying web site enabling analyses to be performed by the reader http://www.wiley.com/go/hospital_monitoring Covers issues that will be of increasing importance in the future, such as, generalised additive models, and complex systems, networks and power laws.
Teaching Epidemiology
Teaching Epidemiology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Teaching Epidemiology write by Jørn Olsen. This book was released on 2010-04-15. Teaching Epidemiology available in PDF, EPUB and Kindle. Teaching Epidemiology is published in collaboration with the International Association of Epidemiology (IEA) and the European Educational Programme in Epidemiology (EEPE) --Book Jacket.
Epidemiology
Epidemiology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Epidemiology write by Mark Woodward. This book was released on 1999-05-25. Epidemiology available in PDF, EPUB and Kindle. Epidemiology is a subject of growing importance, as witnessed by its role in the description and prediction of the impact of new diseases such as AIDS and new-variant CJD. Epidemiology: Study Design and Data Analysis covers the whole spectrum of standard analytical techniques used in epidemiology, from descriptive techniques in report writing to model diagnostics from generalized linear models. The author discusses the advantages, disadvantages, and alternatives to case-control, cohort and intervention studies and details such crucial concepts as incidence, prevalence, confounding and interaction. Many exercises are provided, based on real epidemiological data sets collected from all over the world. The data sets are also available on an associated web site. Epidemiology: Study Design and Data Analysis will be an invaluable textbook for statistics and medical students studying epidemiology, and a standard reference for practicing epidemiologists.
