County Study Data Book
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Health and Ways of Living
Author | : Lisa F. Berkman |
Publisher | : Oxford University Press, USA |
Total Pages | : 266 |
Release | : 1983 |
Genre | : Alameda County (Calif.) |
ISBN | : |
"A classic ... required reading for every student in medicine and public health."* "This monograph, which describes in detail the methodology and the findings of a major longitudinal population health study, represents a significant contribution to the social epidemiology of health and illness. The authors document the impact of health habits and social relationships on health outcomes, issues at the forefront of public health in the United States." --*Leon Eisenberg, Harvard Medical School
County Study Data Book Measures of Social Change in West Virginia
Author | : West Virginia Agricultural Experiment Station |
Publisher | : |
Total Pages | : |
Release | : 1961 |
Genre | : |
ISBN | : |
County Study Data Book
Author | : Leonard Marion Sizer |
Publisher | : |
Total Pages | : 116 |
Release | : 1967 |
Genre | : United States |
ISBN | : |
County Study Data Book
Author | : Leonard Marion Sizer |
Publisher | : |
Total Pages | : 96 |
Release | : 1961 |
Genre | : Sociology, Rural |
ISBN | : |
State Data Book
Author | : United States. Rehabilitation Services Administration. Division of Monitoring and Program Analysis. Statistical Analysis and Systems Branch |
Publisher | : |
Total Pages | : 56 |
Release | : 1972 |
Genre | : Rehabilitation |
ISBN | : |
County Data Book
Author | : United States. Bureau of the Census |
Publisher | : |
Total Pages | : 448 |
Release | : 1947 |
Genre | : United States |
ISBN | : |
Service Needs - Access Study Data Book
Author | : Kenneth Hepburn |
Publisher | : |
Total Pages | : 158 |
Release | : 1973 |
Genre | : Social service |
ISBN | : |
Public Policy Analytics
Author | : Ken Steif |
Publisher | : CRC Press |
Total Pages | : 229 |
Release | : 2021-08-18 |
Genre | : Business & Economics |
ISBN | : 100040157X |
Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop exploratory indicators; understand ‘spatial process’ and develop spatial analytics; how to develop ‘useful’ predictive analytics; how to convey these outputs to non-technical decision-makers through the medium of data visualization; and why, ultimately, data science and ‘Planning’ are one and the same. A graduate-level introduction to data science, this book will appeal to researchers and data scientists at the intersection of data analytics and public policy, as well as readers who wish to understand how algorithms will affect the future of government.