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Bad control

In statistics, bad controls are variables that introduce an unintended discrepancy between regression coefficients and the effects that said coefficients are supposed to measure. These are contrasted with confounders which are "good controls" and need to be included to remove omitted variable bias. This issue arises when a bad control is an outcome…

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Bad control

Nodes8
Edges7
Triples8
Avg. degree1.75
Density0.25
Components1

How this topic connects Entity context

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Bad control

Top relations

related to Bad proxy-control · 7
Bad control → Another, In, Instead, IQ, On, This, Unfortunately
is a · 1
Bad control → outcome variable

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Important terminology

bad controls displaystyle variable education control wages model innate ability regression bias thus variables good included omitted simple proxy-control example

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Bad controlis aoutcome variable0.90text
Bad controlrelated to Bad proxy-controlAnother0.60section
Bad controlrelated to Bad proxy-controlIn0.60section
Bad controlrelated to Bad proxy-controlIQ0.60section
Bad controlrelated to Bad proxy-controlInstead0.60section
Bad controlrelated to Bad proxy-controlUnfortunately0.60section
Bad controlrelated to Bad proxy-controlOn0.60section
Bad controlrelated to Bad proxy-controlThis0.60section

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    Min side: 3
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