Category Archives: general

statements or questions after the workshop introductions

“After all the intros, extract from our sheets of connections 5 statements or questions” (feel free to contribute more statements or questions) How can we engage people earlier on to introduce public health careers – like epi and biostats ­– … Continue reading

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Creativity in epidemiology research, education and practice (ACE task force)

From ACE newsletter, August 2012 Sandy Sulsky Over the course of some half dozen meetings, a task force of ACE Members and Fellows (Melinda Aldrich, Robert Hiatt, Nancy Kreiger, Richard Rothenberg, and I, as chair) attempted to identify existing barriers … Continue reading

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Purpose of the blog

This blog has been initiated to extend a series of workshops that explore ways to open up new directions in epidemiological thinking and research.  In the workshops participants are introduced to tools and processes for individual reflection and group interaction … Continue reading

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Tools for Innovative Thinking in Epidemiology

Roberta B. Ness, Dean, University of Texas School of Public Health, has a recent article, “Tools for Innovative Thinking in Epidemiology,” Am. J. Epidemiol. (2012) 175 (8): 733-738.  The abstract: Innovation is the engine of scientific progress. Concern has been … Continue reading

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“no longer possible to simply continue along previous lines”

To be interested in creative thinking in epidemiology is to accept that it is “no longer possible to simply continue along previous lines” (to quote a foreign participant in a past workshop). Now, it makes good sense to continue along … Continue reading

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Alternatives to some statistical conventions

As I have developed my ability to read the epidemiological literature and explain the methods and controversies over methods to others, I have taken note of approaches or perspectives that depart from statistical conventions. The attached file includes some items … Continue reading

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Alternatives to some statistical conventions II: Visual exploration of data

The plot below allows risk to be displayed in relation to two variables. The contours on this plot are derived from a non-linear model fit to the data. What we see is that there are regions where slightly below average … Continue reading

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