My Hunger Games survival analysis post keeps getting great feedback. The latest anonymous comment:
Nice effort on the analysis, but the data is not suitable for KM and Cox. In KM, Cox and practically almost everything that requires statistical inference on a population, your variable of interest should be in no doubt independent from sample unit to sample unit.
Since your variable of interest is life span during the game where increasing ones chances in a longer life means deterring another persons lifespan (i.e. killing them), then obviously your variable of interest is dependent from sample unit to sample unit.
Your test for determining whether the gamemakers rig the selection of tributes is inappropriate, since the way of selecting tributes is by district. In the way your testing whether the selection was rigged, you are assuming that the tributes were taken as a lot regardless of how many are taken from a district. And the way you computed the expected frequency assumes that the number of 12 year olds equals the number of 13 year olds and so on when it is not certain.
Thanks for the blog. It was entertaining.
And there’s a lot more in the other comments.
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