World health statistics 2020
Title | World health statistics 2020 PDF eBook |
Author | World Health Organization |
Publisher | World Health Organization |
Pages | 92 |
Release | 2020-05-13 |
Genre | Medical |
ISBN | 9240005102 |
The World health statistics 2020 report is the annual compilation of health statistics for 194 Member States. It summarizes trends in life expectancy and causes of death and reports on progress towards the health and health-related Sustainable Development Goals (SDGs) and associated targets.
Vital and Health Statistics
Title | Vital and Health Statistics PDF eBook |
Author | |
Publisher | |
Pages | 650 |
Release | 1963 |
Genre | Health surveys |
ISBN |
Statistics for Comprehensive Health Planning
Title | Statistics for Comprehensive Health Planning PDF eBook |
Author | National Center for Health Statistics (U.S.) |
Publisher | |
Pages | 272 |
Release | 1972 |
Genre | Health planning |
ISBN |
Health Statistics
Title | Health Statistics PDF eBook |
Author | Daniel J. Friedman |
Publisher | Oxford University Press, USA |
Pages | 562 |
Release | 2005 |
Genre | Health & Fitness |
ISBN | 0195149289 |
Health statistics have been an essential tool for improving the health of populations for centuries. This book provides an account of the concepts and underpinnings of the subject, giving a broad and detailed view of the sources and uses of the data and explores issues confronting the enterprise.
Statistics for Health Data Science
Title | Statistics for Health Data Science PDF eBook |
Author | Ruth Etzioni |
Publisher | Springer Nature |
Pages | 238 |
Release | 2021-01-04 |
Genre | Medical |
ISBN | 3030598896 |
Students and researchers in the health sciences are faced with greater opportunity and challenge than ever before. The opportunity stems from the explosion in publicly available data that simultaneously informs and inspires new avenues of investigation. The challenge is that the analytic tools required go far beyond the standard methods and models of basic statistics. This textbook aims to equip health care researchers with the most important elements of a modern health analytics toolkit, drawing from the fields of statistics, health econometrics, and data science. This textbook is designed to overcome students’ anxiety about data and statistics and to help them to become confident users of appropriate analytic methods for health care research studies. Methods are presented organically, with new material building naturally on what has come before. Each technique is motivated by a topical research question, explained in non-technical terms, and accompanied by engaging explanations and examples. In this way, the authors cultivate a deep (“organic”) understanding of a range of analytic techniques, their assumptions and data requirements, and their advantages and limitations. They illustrate all lessons via analyses of real data from a variety of publicly available databases, addressing relevant research questions and comparing findings to those of published studies. Ultimately, this textbook is designed to cultivate health services researchers that are thoughtful and well informed about health data science, rather than data analysts. This textbook differs from the competition in its unique blend of methods and its determination to ensure that readers gain an understanding of how, when, and why to apply them. It provides the public health researcher with a way to think analytically about scientific questions, and it offers well-founded guidance for pairing data with methods for valid analysis. Readers should feel emboldened to tackle analysis of real public datasets using traditional statistical models, health econometrics methods, and even predictive algorithms. Accompanying code and data sets are provided in an author site: https://roman-gulati.github.io/statistics-for-health-data-science/
Advance Data from Vital & Health Statistics of the National Center for Health Statistics
Title | Advance Data from Vital & Health Statistics of the National Center for Health Statistics PDF eBook |
Author | |
Publisher | |
Pages | 12 |
Release | 1976 |
Genre | United States |
ISBN |
Applied Spatial Statistics for Public Health Data
Title | Applied Spatial Statistics for Public Health Data PDF eBook |
Author | Lance A. Waller |
Publisher | John Wiley & Sons |
Pages | 522 |
Release | 2004-07-29 |
Genre | Mathematics |
ISBN | 0471662674 |
While mapped data provide a common ground for discussions between the public, the media, regulatory agencies, and public health researchers, the analysis of spatially referenced data has experienced a phenomenal growth over the last two decades, thanks in part to the development of geographical information systems (GISs). This is the first thorough overview to integrate spatial statistics with data management and the display capabilities of GIS. It describes methods for assessing the likelihood of observed patterns and quantifying the link between exposures and outcomes in spatially correlated data. This introductory text is designed to serve as both an introduction for the novice and a reference for practitioners in the field Requires only minimal background in public health and only some knowledge of statistics through multiple regression Touches upon some advanced topics, such as random effects, hierarchical models and spatial point processes, but does not require prior exposure Includes lavish use of figures/illustrations throughout the volume as well as analyses of several data sets (in the form of "data breaks") Exercises based on data analyses reinforce concepts