3 ms·

This caught my attention: "...insurmountable issue with applying formal statistics to any sort of meta-studies..." If I wanted to get a better understanding of

• nkurz 9y ago
  My belief is mostly intuitive and likely more extreme than most, and I don't know of a good single source to point to. John Ioannidis' writings are probably a good starting point: http://retractionwatch.com/2016/09/13/we-have-an-epidemic-of-deeply-flawed-meta-analyses-says-john-ioannidis/ http://retractionwatch.com/2016/09/13/we-have-an-epidemic-of.... Searching for "convenience sampling" on Andrew Gelman's blog yields lots of good discussion in the comments: http://andrewgelman.com/?s=%22convenience+sample%22 http://andrewgelman.com/?s=%22convenience+sample%22. Miguel Hernan's book on Causal Inference gives a good sense of the pitfalls of biased sampling: https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/ https://www.hsph.harvard.edu/miguel-hernan/causal-inference-.... Sorry I can't do better, and maybe others can add better sources. P.S. I enjoyed the way you formatted and responded to your parent comment. Thanks, the style is sometimes referred to as "interleaved" or "inline", as opposed to "top posting" and "bottom posting": https://brooksreview.net/2011/01/interleaved-email/ https://brooksreview.net/2011/01/interleaved-email/. It was the norm for early online communications, but has mostly fallen out of favor. I think it works very well for some situations, although it too is surprisingly controversial: https://news.ycombinator.com/item?id=5233428 https://news.ycombinator.com/item?id=5233428.