article · Biometrika · 1989

Interval estimation with restricted randomization rules

Lee‐Jen Wei, R. T. Smythe, Cyrus R. Mehta

Cited by 1Abstract and details only

Abstract

In comparing two treatments in a clinical trial, suppose that patients are assigned sequentially to treatments by a restricted randomization rule. Exact and approximate confidence intervals for treatment difference are derived without assuming that the study subjects were obtained by random sampling from a well-defined population. We show that, if there is a time trend among the responses of study subjects, one should not ignore the design in the analysis. All the procedures are illustrated with a real-life example.

Cite this paper

APA 7

Wei, L., Smythe, R. T., & Mehta, C. R. (1989). Interval estimation with restricted randomization rules. Biometrika, 76(2), 363–368. https://doi.org/10.1093/biomet/76.2.363

MLA 9

Wei, Lee‐Jen, et al. “Interval estimation with restricted randomization rules.” Biometrika, vol. 76, no. 2, 1989, pp. 363–68, https://doi.org/10.1093/biomet/76.2.363.

Chicago

Wei, Lee‐Jen, R. T. Smythe, and Cyrus R. Mehta. 1989. “Interval estimation with restricted randomization rules.” Biometrika 76 (2): 363–68. https://doi.org/10.1093/biomet/76.2.363.

Harvard

Wei, L., Smythe, R.T. and Mehta, C.R. (1989) ‘Interval estimation with restricted randomization rules’, Biometrika, 76(2), pp. 363–368. Available at: https://doi.org/10.1093/biomet/76.2.363.

BibTeX

@article{wei1989interval,
  title = {{Interval estimation with restricted randomization rules}},
  author = {Wei, Lee‐Jen and Smythe, R. T. and Mehta, Cyrus R.},
  journal = {Biometrika},
  volume = {76},
  number = {2},
  pages = {363--368},
  year = {1989},
  doi = {10.1093/biomet/76.2.363}
}

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