Estimating Causal Effects of Treatments in Randomized and Nonrandomized Studies

  title={Estimating Causal Effects of Treatments in Randomized and Nonrandomized Studies},
  author={Donald B. Rubin},
A discussion of matching, randomization, random sampling, and other methods of controlling extraneous variation is presented. The objective is to specify the benefits of randomization in estimating causal effects of treatments. The basic conclusion is that randomization should be employed whenever possible but that the use of carefully controlled nonrandomized data to estimate causal effects is a reasonable and necessary procedure in many cases. 
Highly Influential
This paper has highly influenced 147 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS

From This Paper

Topics from this paper.
1,359 Citations
10 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 1,359 extracted citations


Publications referenced by this paper.
Showing 1-10 of 10 references

Controlling bias in observational studies: A review

  • W. G. Cochran, D. B. Rubin
  • Mahalanobis Memorial Volume Sankhyd -A,
  • 1974
1 Excerpt

Statistics: A Scheffe, H. The analysis of variance. New York: 9 io ihe unknown

  • R. S. R- F. Pieters, G. R. Rising
  • 1959
1 Excerpt

Experimental designs. (6th ed

  • W. G. Cochran, G. M. Cox
  • New York: Wiley,
  • 1957
2 Excerpts

Design and analysis oj industrial experiments

  • O. L. Davies
  • 1954
1 Excerpt

The foundations of statistics

  • L. J. Savage
  • New Tanur,
  • 1954
1 Excerpt

The design and analysis oj experiments

  • O. Kempthorne
  • New York: Wiley,
  • 1952
2 Excerpts

Statistical methods for research workers. (1st ed

  • R. A. Fisher
  • New York: Hafner,
  • 1925
1 Excerpt

Similar Papers

Loading similar papers…