Judea Pearl

Summary

Affiliation: University of California
Country: USA

Publications

  1. doi request reprint Structural counterfactuals: a brief introduction
    Judea Pearl
    Computer Science Department, University of California, Los Angeles 90095 1596, USA
    Cogn Sci 37:977-85. 2013
  2. doi request reprint The causal mediation formula--a guide to the assessment of pathways and mechanisms
    Judea Pearl
    Computer Science Department, University of California, Los Angeles, Los Angeles, CA 90095 1596, USA
    Prev Sci 13:426-36. 2012
  3. doi request reprint On the consistency rule in causal inference: axiom, definition, assumption, or theorem?
    Judea Pearl
    Department of Computer Science, University of California, Los Angeles, CA 90095 1596, USA
    Epidemiology 21:872-5. 2010
  4. pmc Invited commentary: understanding bias amplification
    Judea Pearl
    Department of Computer Science, University of California, Los Angeles, USA
    Am J Epidemiol 174:1223-7; discussion pg 1228-9. 2011
  5. pmc Principal stratification--a goal or a tool?
    Judea Pearl
    University of California, Los Angeles, USA
    Int J Biostat 7:20. 2011
  6. pmc An introduction to causal inference
    Judea Pearl
    University of California, Los Angeles, CA, USA
    Int J Biostat 6:Article 7. 2010

Detail Information

Publications6

  1. doi request reprint Structural counterfactuals: a brief introduction
    Judea Pearl
    Computer Science Department, University of California, Los Angeles 90095 1596, USA
    Cogn Sci 37:977-85. 2013
    ..This introduction traces the emergence of the structural model and gives a panoramic view of several applications where counterfactual reasoning has benefited problem areas in the empirical sciences. ..
  2. doi request reprint The causal mediation formula--a guide to the assessment of pathways and mechanisms
    Judea Pearl
    Computer Science Department, University of California, Los Angeles, Los Angeles, CA 90095 1596, USA
    Prev Sci 13:426-36. 2012
    ..We stress the importance of distinguishing between the necessary and sufficient interpretations of "mediated-effect" and show how to estimate the two components in nonlinear systems with continuous and categorical variables...
  3. doi request reprint On the consistency rule in causal inference: axiom, definition, assumption, or theorem?
    Judea Pearl
    Department of Computer Science, University of California, Los Angeles, CA 90095 1596, USA
    Epidemiology 21:872-5. 2010
    ..Instead, warnings of potential side-effects should be embodied in standard modeling practices that make causal assumptions explicit and transparent...
  4. pmc Invited commentary: understanding bias amplification
    Judea Pearl
    Department of Computer Science, University of California, Los Angeles, USA
    Am J Epidemiol 174:1223-7; discussion pg 1228-9. 2011
    ..The author further derives a partial order on sets of covariates which reveals preference for conditioning on outcome-related, rather than exposure-related, confounders...
  5. pmc Principal stratification--a goal or a tool?
    Judea Pearl
    University of California, Los Angeles, USA
    Int J Biostat 7:20. 2011
    ..Here, we analyze the conceptual basis for this framework and invite response to clarify the value of principal stratification in estimating causal effects of interest...
  6. pmc An introduction to causal inference
    Judea Pearl
    University of California, Los Angeles, CA, USA
    Int J Biostat 6:Article 7. 2010
    ..The tools are demonstrated in the analyses of mediation, causes of effects, and probabilities of causation...