Exhaustion, automation, theory, and confounding.

  title={Exhaustion, automation, theory, and confounding.},
  author={Marshall M. Joffe},
  volume={20 4},
Behind every analysis of observational data lurks the specter of inadequate control of confounding. Inadequate control can result from inadequate measurement of confounding variables, from errors in measurement or classification of those variables, from incorrect assumptions about the nature of relationships among variables, and from laziness and exhaustion. Analysts faced with hundreds or thousands of measured covariates that potentially confound the association of the study treatment or… CONTINUE READING

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Showing 1-10 of 11 references

Confounding and collapsibility in causal inference

  • S Greenland, J Robins, J. Pearl
  • Statist Sci. 1999;14:29–46
  • 2009

Causation, Prediction, and Search

  • P Spirtes, C Glymour, R. Scheines
  • 2000
1 Excerpt

On the impossibility of inferring causation from association without background knowledge

  • JM Robins, L. Wasserman
  • 1999
1 Excerpt

On the application of probability theory to agricultural experiments

  • J. Neyman
  • Essay on principles. Translated by D.M. Dabrowska…
  • 1990

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