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sheds-dist's Issues

Separate out mean effect

If have difficulty with flat beta1, try modeling mean effect separate
Be sure to check correlation between mean and quantiles.

Right-skewed sigma2

When relax prior for sigma2, get large values of sigma2 that impact estimation of beta

Cluster distributions

Idea: cluster distribution days to characterize the shape of the exposure distribution on most toxic days (holding pm2.5 constant)

  1. Use kolmogorov-smirnov test to separate normal vs. non-normal. Include main effects + interaction with mean PM2.5 in health model
  2. Other ways of clustering distribution days?

Use true X's

Instead of randomly distributed X's, use quantiles that are highly correlated

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