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David Chudzicki
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Hearing "Throwing individual level data away reduces the amount of information" described as a fallacy worries me a bit. For one thing this statement is true (for any technical definition of "information), but more importantly I feel it's ignoring lots of progress in getting people to model individual-level data in hierarchical models, rather than just e.g. a regression on group means.
Throwing away data might be worthwhile for any number of reasons (e.g. computational or to make a plot more readable), but it *is* throwing away information. And if you can, it's better to build a model at the level of individual data than aggregates.
I wasn't at the talk and don't know what was said, so maybe all of this was made clear, and the "fallacy" language is just supposed to be a good sound bite.
A report from #JSM Joint Statistical Meetings 2014
Stephen Stigler, the preeminent historian of statistics, gave a great talk at JSM, the annual gathering of statisticians on Monday afternoon in Boston. He outlined seven core ideas ("pillars of wisdom") in statistical research that sets the field apart; these are ideas developed by statisticians...
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Aug 11, 2014
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