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Sample Size Selection in Clinical Trials when Population Means Are Subject to a Partial Order: One-sided Ordered Alternatives.

Publication ,  Journal Article
Singh, B; Halabi, S; Schell, MJ
Published in: J Appl Stat
2008

The statistical methodology under order restriction is very mathematical and complex. Thus, we provide a brief methodological background of order restricted likelihood ratio tests for the normal theory case for the basic understanding of its applications, and relegate more technical details to the appendices. For data analysis, algorithms for computing the order restricted estimates and computation of p -values are described. A two-step procedure is presented for obtaining the sample size in clinical trials when the minimum power, say 0.80 or 0.90 is specified, and the normal means satisfy an order restriction. Using this approach will result in reduction of 14-24% in the sample size required when one-sided ordered alternatives are used, as illustrated by several examples.

Duke Scholars

Published In

J Appl Stat

DOI

ISSN

0266-4763

Publication Date

2008

Volume

35

Issue

5

Start / End Page

583 / 600

Location

England

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 3802 Econometrics
  • 1403 Econometrics
  • 0104 Statistics
 

Citation

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Singh, B., Halabi, S., & Schell, M. J. (2008). Sample Size Selection in Clinical Trials when Population Means Are Subject to a Partial Order: One-sided Ordered Alternatives. J Appl Stat, 35(5), 583–600. https://doi.org/10.1080/02664760801924780
Singh, Bahadur, Susan Halabi, and Michael J. Schell. “Sample Size Selection in Clinical Trials when Population Means Are Subject to a Partial Order: One-sided Ordered Alternatives.J Appl Stat 35, no. 5 (2008): 583–600. https://doi.org/10.1080/02664760801924780.
Singh, Bahadur, et al. “Sample Size Selection in Clinical Trials when Population Means Are Subject to a Partial Order: One-sided Ordered Alternatives.J Appl Stat, vol. 35, no. 5, 2008, pp. 583–600. Pubmed, doi:10.1080/02664760801924780.
Journal cover image

Published In

J Appl Stat

DOI

ISSN

0266-4763

Publication Date

2008

Volume

35

Issue

5

Start / End Page

583 / 600

Location

England

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 3802 Econometrics
  • 1403 Econometrics
  • 0104 Statistics