Definitions¶
Just a growing list of definitions.
Things to Avoid¶
Just a list of principles or things that I really want to avoid when doing science. I leave these here as a reminder.
Desire to achieve a sought for (or simply publishable) result leads to fiddling with the data points, the modelling assumptions, or the research hypotheses themselves. - Satelli (prezi)
P-Hacking¶
Fishing for favourable p-values
Paper:
- A. Gelman and E. Loken, “The garden of forking paths: Why multiple comparisons can be a problem, even when there is no ‘fishing expedition’ or ‘p-hacking’ and the research hypothesis was posited ahead of time,” 2013
- Leamer, E. E. Tantalus on the Road to Asymptopia. J. Econ. Perspect. 24, 31–46 (2010)
HARKing¶
Formulating the research **H**ypothesis **A**fter the **R**esults are **K**nown
Paper:
- Kerr, N. L., HARKing: Hypothesizing After the Results are Known. Personal. Soc. Psychol. Rev. 2, 196217 (1998)
Seed Hacking¶
Finding the right seed or initializing for the ML model that gives the best results.
Data Fishing Expedition¶
Finding data that gives your model the best results