Epidemiology
Epidemiology is the study and analysis of the distribution (who, when, and where) and determinants of health and disease conditions in defined populations.
Medical Statistics
Medical statistics deals with applications of statistics to medicine and the health sciences, including epidemiology, public health, forensic medicine, and clinical research. Medical statistics has been a recognized branch of statistics in the United Kingdom for more than 40 years but the term has not come into general use in North America, where the wider term 'biostatistics' is more commonly used. However, "biostatistics" more commonly connotes all applications of statistics to biology. Medical Statistics are a sub discipline of Statistics. "It is the science of summarizing, collecting, presenting and interpreting data in medical practice, and using them to estimate the magnitude of associations and test hypotheses. It has a central role in medical investigations. It not only provides a way of organizing information on a wider and more formal basis than relying on the exchange of anecdotes and personal experience, but also takes into account the intrinsic variation inherent in most biological processes."
Statistics
Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data. In applying statistics to, for example, a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model process to be studied. Populations can be diverse topics such as "all people living in a country" or "every atom composing a crystal". Statistics deals with all aspects of data including the planning of data collection in terms of the design of surveys and experiments. See glossary of probability and statistics.
Statistics
Statistics has been the most successful information science.
Those who ignore Statistics are condemned to reinvent it.
Attributed to Bradley Efron by Jerome H. Friedman (April 2001). "The Role of Statistics in the Data Revolution?". International Statistical Review 69: 5-10.
Statistics
Statistical thinking will one day be as necessary for efficient citizenship as the ability to read or write.
Attributed to H. G. Wells by Darrell Huff in How to Lie with Statistics (1954), epigraph
The great body of physical science, a great deal of the essential fact of financial science, and endless social and political problems are only accessible and only thinkable to those who have had a sound training in mathematical analysis, and the time may not be very remote when it will be understood that for complete initiation as an efficient citizen of one of the new great complex world-wide States that are now developing, it is as necessary to be able to compute, to think in averages and maxima and minima, as it is now to be able to read and write. [HG Wells 1911, Mankind in the Making 2041]
Statistics
I wish that people would be persuaded that psychological experiments, especially those on the complex functions, are not improved (by large studies); the statistical method gives only mediocre results; some recent examples demonstrate that. The American authors, who love to do things big, often publish experiments that have been conducted on hundreds and thousands of people; they instinctively obey the prejudice that the persuasiveness of a work is proportional to the number of observations. This is only an illusion.
Alfred Binet (1903). L’Etude experimentale de l’intelligence. Paris: Schleicher Freres and Cie. p. 299; As cited in: Carson (1999, 360)