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Assessing departure from dose linearity under a repeated measures incomplete block design.

Publication ,  Journal Article
Cheng, B; Chow, S-C
Published in: Pharm Stat
2011

Dose proportionality/linearity is a desirable property in pharmacokinetic studies. Various methods have been proposed for its assessment. When dose proportionality is not established, it is of interest to evaluate the degree of departure from dose linearity. In this paper, we propose a measure of departure from dose linearity and derive an asymptotic test under a repeated measures incomplete block design using a slope approach. Simulation studies show that the proposed method has a satisfactory small sample performance in terms of size and power.

Duke Scholars

Published In

Pharm Stat

DOI

EISSN

1539-1612

Publication Date

2011

Volume

10

Issue

4

Start / End Page

357 / 362

Location

England

Related Subject Headings

  • Statistics & Probability
  • Sample Size
  • Research Design
  • Pharmacokinetics
  • Pharmaceutical Preparations
  • Models, Statistical
  • Humans
  • Dose-Response Relationship, Drug
  • Data Interpretation, Statistical
  • Controlled Clinical Trials as Topic
 

Citation

APA
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ICMJE
MLA
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Cheng, B., & Chow, S.-C. (2011). Assessing departure from dose linearity under a repeated measures incomplete block design. Pharm Stat, 10(4), 357–362. https://doi.org/10.1002/pst.474
Cheng, Bin, and Shein-Chung Chow. “Assessing departure from dose linearity under a repeated measures incomplete block design.Pharm Stat 10, no. 4 (2011): 357–62. https://doi.org/10.1002/pst.474.
Cheng, Bin, and Shein-Chung Chow. “Assessing departure from dose linearity under a repeated measures incomplete block design.Pharm Stat, vol. 10, no. 4, 2011, pp. 357–62. Pubmed, doi:10.1002/pst.474.
Journal cover image

Published In

Pharm Stat

DOI

EISSN

1539-1612

Publication Date

2011

Volume

10

Issue

4

Start / End Page

357 / 362

Location

England

Related Subject Headings

  • Statistics & Probability
  • Sample Size
  • Research Design
  • Pharmacokinetics
  • Pharmaceutical Preparations
  • Models, Statistical
  • Humans
  • Dose-Response Relationship, Drug
  • Data Interpretation, Statistical
  • Controlled Clinical Trials as Topic