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Resolving the Lord's Paradox
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics.ORCID iD: 0000-0003-1654-9148
2017 (English)In: Proceedings of the 32nd International Workshop on Statistical Modelling: Volume II / [ed] Marco Grzegorczyk and Giacomo Ceoldo, Groningen, Netherlands: International Workshop on Statistical Modelling (IWSM) , 2017, Vol. II, 223-226 p.Conference paper, Published paper (Refereed)
Abstract [en]

An explanation to Lord’s paradox using ordinary least square regres- sion models is given. It is not a paradox at all, if the regression parameters are interpreted as predictive or as causal with stricter conditions and be aware of laws of averages. We use derivation of a super-model from a given sub-model, when its residuals can be modelled with other potential predictors as a solution. 

Place, publisher, year, edition, pages
Groningen, Netherlands: International Workshop on Statistical Modelling (IWSM) , 2017. Vol. II, 223-226 p.
Keyword [en]
Effect, Predictive, Causal, Confounding
National Category
Natural Sciences Probability Theory and Statistics
Research subject
Statistics
Identifiers
URN: urn:nbn:se:umu:diva-137583OAI: oai:DiVA.org:umu-137583DiVA: diva2:1120300
Conference
32nd International Workshop on Statistical Modelling (IWSM 2017), Groningen, Netherlands, 3-7 July, 2017
Available from: 2017-07-06 Created: 2017-07-06 Last updated: 2017-11-06Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf