Statistical science: a grammar for research

Statistical science: a grammar for research I greatly appreciate the invitation to give this lecture with its century long history. The title is a warning that the lecture is rather discursive and not highly focused and technical. The theme is simple. That statistical thinking provides a unifying set of general ideas and specific methods relevant whenever appreciable natural variation is present. To be most fruitful these ideas should merge seamlessly with subject-matter considerations. By contrast, there is sometimes a temptation to regard formal statistical analysis as a ritual to be added after the serious work has been done, a ritual to satisfy convention, referees, and regulatory agencies. I want implicitly to refute that idea. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png European Journal of Epidemiology Springer Journals

Statistical science: a grammar for research

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Publisher
Springer Netherlands
Copyright
Copyright © 2017 by The Author(s)
Subject
Medicine & Public Health; Epidemiology; Public Health; Infectious Diseases; Cardiology; Oncology
ISSN
0393-2990
eISSN
1573-7284
D.O.I.
10.1007/s10654-017-0288-1
Publisher site
See Article on Publisher Site

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