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stat.ME2019★ 37 cited
Improving multilevel regression and poststratification with structured priors
Yuxiang Gao, Lauren Kennedy, Daniel Simpson +1
A central theme in the field of survey statistics is estimating population-level quantities through data coming from potentially non-representative samples of the population. Multi…
stat.ME2019
Slamming the sham: A Bayesian model for adaptive adjustment with noisy control data
Andrew Gelman, Matthijs Vákár
It is not always clear how to adjust for control data in causal inference, balancing the goals of reducing bias and variance. We show how, in a setting with repeated experiments, B…