Lord's Paradox Revisited - (On Lord! Kumbaya!)

Abstract

Among the many peculiarities that were dubbed "paradoxes" by well meaning statisticians, the one reported by Frederic M. Lord in 1967 has earned a special status. Although it can be viewed, formally, as a version of Simpson's paradox (Arah, 2008; Tu et al., 2008; Pearl, 2014) its reputation has gone much worse. Unlike Simpson's reversal, Lord's is easier to state, harder to disentangle (Wainer and Brown, 2007) and, for some reason, it has been lingering for almost four decades, under several interpretations and re-interpretations (Holland and Rubin, 1983), and it keeps coming up in new situations and under new lights (van Breukelen, 2013; Senn, 2006; Eriksson and Haggstrom, 2014). Most peculiar yet, while some of its variants has received a satisfactory resolution (Glymour, 2006; Hernandez-Diaz et al., 2006), the original version presented by Lord, to the best of my knowledge, has not been given a proper treatment, not to mention a resolution. The purpose of this paper is to trace back Lord's paradox from its original formulation, resolve it using modern tools of causal analysis, explain why it resisted prior attempts at resolution and, Finally, address the general methodological issue of whether adjustments for pre-existing conditions is justified in group comparison applications.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 03, 2014
Accession Number
ADA615058

Entities

People

  • Judea Pearl

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Behavioral Sciences
  • Body Weight
  • California
  • Causal Reasoning
  • Computer Science
  • Computers
  • Data Analysis
  • Data Science
  • Dining Halls
  • Heart Rate
  • Information Science
  • Network Science
  • Psychology
  • Reasoning
  • Social Psychology
  • Statistics

Readers

  • Military History
  • Military History of the United States in the 20th Century.
  • Theoretical Analysis.