CS&SS\STAT 566

CAUSAL MODELING

WINTER 2017

Readings

(Notes on using UW's proxy server to access some of these papers.)


Introduction to Potential Outcome Models (Week 1)

Morgan and Winship: Section 1.1; Sections 2.1-2.5;

Angrist and Pischke: Chapter 1, and Chapter 2.1-2.2

Background Reading

Samuel Pepys, Isaac Newton and Probability E. Rubin and E.D. Schell. The American Statistician Vol.14, No.4, 27-30.


SUTVA and the consistency assumption

Statistics and Causal Inference Paul W. Holland Journal of the American Statistical Association , Vol. 81, No. 396. (Dec., 1986), pp. 945-960.

Estimating causal effects of treatments in randomized and nonrandomized studies Don B. Rubin Journal of Educational Psychology, Vol 66(5), Oct, 1974. pp. 688-701

Background Reading

On the Application of Probability Theory to Agricultural Experiments J.Neyman (D.M.Dabrowska, T.P.Speed, Trans.). Statistical Science Vol.5, No.4, 465-472.


More on Consistency and SUTVA

The Consistency Statement in Causal Inference: A Definition or an Assumption? S.R. Cole and C.E. Frangakis Epidemiology , Vol. 20, No. 1. (Jan., 2009), pp. 3-5.

Concerning the Consistency Assumption in Causal Inference T.J. VanderWeele Epidemiology , Vol. 20, No. 6. (Nov., 2009), pp. 880-883.

On the Consistency Rule in Causal Inference: Axiom, Definition, Assumption, or Theorem? J. Pearl Epidemiology , Vol. 21, No. 6. (Nov., 2010), pp. 872-875.




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