||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
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
- Kaplan, E. L.; Meier,
P.: Nonparametric estimation from incomplete observations. J. Amer. Statist.
Assn. 53:457–481, 1958. This paper started a major branch of Statistics,
- 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: 1269–1275. 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.
- 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.
- 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.
- Ware, J.H.
(1982) "Random-Effects Models for Longitudinal Data", Biometrics, 38, 963–974.
This paper introduced mixed linear models.
- Bland JM, Altman DG (1986).
"Statistical methods for assessing agreement between two methods of clinical
measurement". Lancet 1 (8476): 307–10. This paper showed a simple graphical
approach to compare two raters.
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