Since coarse(ned) data naturally induce set-valued estimators, analysts often assume coarsening at random (CAR) to force them to be single-valued. Using the PASS data as an example, we re-illustrate the impossibility to test CAR and contrast it to another type of uninformative coarsening called subgroup independence (SI). It turns out that SI is testable here.
CITATION STYLE
Plass, J., Cattaneo, M. E. G. V., Schollmeyer, G., & Augustin, T. (2017). Testing of coarsening mechanisms: Coarsening at random versus subgroup independence. In Advances in Intelligent Systems and Computing (Vol. 456, pp. 415–422). Springer Verlag. https://doi.org/10.1007/978-3-319-42972-4_51
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