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 from my mixed grab bag of alternatives. There is no grand theory linking them. Readers might have objections to some of the alternatives and the thinking behind them, but they might also be stimulated to explore their implications further. It does not matter if you end up sticking with the conventional approaches; the alternatives are offered here in the spirit of critical thinking, namely, that we understand ideas better by holding them in tension with alternatives.
Question to readers: What conventions of statistical practice frustrate you and what alternatives have you considered?
- statements or questions after the workshop introductions
- Gathered thoughts from 9/9/12 workshop, shared
- Program for 4-hour workshop on Creativity & Innovation in Epidemiologic Research
- Creativity in epidemiology research, education and practice (ACE task force)
- Purpose of the blog
- Tools for Innovative Thinking in Epidemiology
- “no longer possible to simply continue along previous lines”
- Alternatives to some statistical conventions
- Alternatives to some statistical conventions II: Visual exploration of data
- “Not continuing along previous lines: Exploring how new directions emerge in epidemiological research”