Visualizing Statistical Mix Effects and Simpson's Paradox
نویسندگان
چکیده
منابع مشابه
Visualizing Statistical Mix Effects and Simpson's Paradox
We discuss how "mix effects" can surprise users of visualizations and potentially lead them to incorrect conclusions. This statistical issue (also known as "omitted variable bias" or, in extreme cases, as "Simpson's paradox") is widespread and can affect any visualization in which the quantity of interest is an aggregated value such as a weighted sum or average. Our first contribution is to doc...
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ژورنال
عنوان ژورنال: IEEE Transactions on Visualization and Computer Graphics
سال: 2014
ISSN: 1077-2626
DOI: 10.1109/tvcg.2014.2346297