Discover and read the best of Twitter Threads about #RegressionDiscontinuity
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I have a feeling we’ll be seeing a lot of #RegressionDiscontinuity (specifically, interrupted time series) studies evaluating effects of #COVID19 restrictions on all kinds of outcomes. Some thoughts on when RD can be useful and why it might not always be a great idea. 1/n
RD is a method that can be used to evaluate effects of exposures when a continuously measured variable has a cutoff value that can be used to assign treatment (or other exposure) status to those just above or below the threshold. 2/n
ncbi.nlm.nih.gov/pmc/articles/P…
ncbi.nlm.nih.gov/pmc/articles/P…
If the cutoff at least partially assigns exposure and is not correlated with outcome, it could be an assignment variable for an RD design. Examples: CD4 counts assigning HIV treatment or calendar time assigning vaccination status based on date of introduction of a vaccine. 3/n
