Principles and practice of the analysis of multivariate data

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Papers on observational studies and causal inference

• Cochran, W.G. (1965). The planning of observational studies in human populations
      (with discussion). J.R. Stat. Soc. A, 128, 234-265.
• Cox, D.R. and Wermuth, N. (2001). Causal inference and statistical fallacies.
     International Encyclopedia of the Social and Behavioral Sciences.
     P.B. Baltes and N.J. Smelser (eds). Elsevier, Amsterdam, 3, 1554-1561.
• Cox, D.R. and Wermuth, N. (2004). Causality: a statistical view.
      International Statistical Review, 72, 285-305. 
• Dempster, A.P. (1990). Causality and statistics. J. Statistical Planning
     and Inference, 25, 261-278.
• Holland, P.W. (1986). Statistics and causal inference (with discussion).
      J. Amer. Statist. Assoc., 81, 945-970.
• Rubin, D. (1974). Estimating causal effects of treatments in randomized and
      non-randomized studies. J. of Educational Psychology, 66, 688-701. 

Papers on partial inversion and graphical models

• Wermuth, N. and Cox, D.R. (2001). Graphical models: overview.
     International Encyclopedia of the Social and Behavioral Sciences.
     P.B. Baltes and N.J.Smelser (eds). Elsevier, Amsterdam, 9, 6379-6386.
• Wermuth, N., Cox, D.R. and Wiedenbeck, M. (2005).
     Partial inversion to describe linear structure. Submitted.

Papers on confounding

• Wermuth, N. and Cox, D.R. (2005). On indirect confounding. Submitted.

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