I really want to learn statistics, experiment design, and how to avoid or measure or model bias; haven't got a chance to learn it in uni, didn't seem to have much success with the coursera course (sure, I did their assignments, I didn't get much understanding out of it). what do?
How to avoid bias in statistics is like how to avoid having a bug in your code: it's lots of small things, not one big rule. The big rules to know in statistics are things like the central limit theorem.
-
-
to extend your analogy, what i want is a tutorial, best practices and community conventions for statistics, then
-
Different communities have different standards and practices. In the medical world, placebo controlled double-blind studies rule, and epidemiology drools. In paleoclimatology, almost everybody drools. Physicists lock it down tight (six-sigma; none of this "p<0.05" nonsense).
- 2 more replies
New conversation -
-
-
This Tweet is unavailable.
-
"overfitting problems to sanity checks" is something i knew i ought to do (and got bitten by) but until this day did not know a name for
End of conversation
-
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.