When is a model good?

Parsimony

statmodeling.stat.columbia.edu/2009/05/07/bayes_jeffreys/

There is a body of work behind why model parsimony is good, but the reasoning doesn't apply everywhere. When does it not?

Components of a trustworthy data analysis

From simplystatistics.org/2018/06/04/trustworthy-data-analysis/

  • How was the data gathered?
  • How were the data processed?
  • Sampling frame?
  • Is there a reason why the variables might be causally related?

Rubin's basic questions

Donald Rubin has two questions he likes to ask any researcher:

  • What would you do if you had all the data?
  • What were you doing before you had any data?
Created (2 years ago)