P.Mean: Classic references in Statistics (created 2010-06-29).

A prominent statistician, Christian Robert, listed some classic research papers in Statistics that he wanted to present to his students in a special readings class. This was commented on by another prominent statistician, Andrew Gelman. I'm not a prominent statistician, but that won't stop me from adding my two cents.

The original 15 articles suggested by Christian Robert are found at:


The commentary by Andrew Gelman can be found at:


Here are some others that I think might be added to the list

  1. Kaplan, E. L.; Meier, P.: Nonparametric estimation from incomplete observations. J. Amer. Statist. Assn. 53:457481, 1958. This paper started a major branch of Statistics, survival analysis.
  2. Cornfield J (1951). A method of estimating comparative rates from clinical data; applications to cancer of the lung, breast, and cervix. J Natl Cancer Inst 11: 12691275. This paper demonstrated that the odds ratio from a case-control design does indeed have a meaningful interpretation, in spite of the seemingly backwards method for selecting subjects.
  3. Hill AB. "The Environment and Disease: Association or Causation?," Proceedings of the Royal Society of Medicine, 58 (1965), 295-300. This paper shows criteria that can help establish a cause and effect relationship with observational studies.
  4. Liang, K.-Y. and Zeger, S. L. (1986). Longitudinal data analysis using generalized linear models. Biometrika 73, 13-22. This paper introduced generalized estimating equations.
  5. Ware, J.H. (1982) "Random-Effects Models for Longitudinal Data", Biometrics, 38, 963974. This paper introduced mixed linear models.
  6. Bland JM, Altman DG (1986). "Statistical methods for assessing agreement between two methods of clinical measurement". Lancet 1 (8476): 30710. This paper showed a simple graphical approach to compare two raters.

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