Biased sampling models

Greasing non-squeaky wheels

August 27, 2019 — August 27, 2019

hidden variables

Data where your collection process is biased. Can we fix it? Not always.

Connected to hierarchical models, survey estimation as applied in psephology etc, post stratification.


1 References

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Copas, and Li. 1997. Inference for Non-Random Samples.” Journal of the Royal Statistical Society: Series B (Statistical Methodology).
Gao, Kennedy, Simpson, et al. 2019. Improving Multilevel Regression and Poststratification with Structured Priors.” arXiv:1908.06716 [Stat].
Kennedy, and Gelman. 2019. Know Your Population and Know Your Model: Using Model-Based Regression and Poststratification to Generalize Findings Beyond the Observed Sample.” arXiv:1906.11323 [Stat].
Kohler, Kreuter, and Stuart. 2019. Nonprobability Sampling and Causal Analysis.” Annual Review of Statistics and Its Application.
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———. 1993b. The Role of Sampling Weights When Modeling Survey Data.” International Statistical Review / Revue Internationale de Statistique.
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