
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
Chicago
ICMJE
MLA
NLM
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 B, Chow S-C. Assessing departure from dose linearity under a repeated measures incomplete block design. Pharm Stat. 2011;10(4):357–62.
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.
Cheng B, Chow S-C. Assessing departure from dose linearity under a repeated measures incomplete block design. Pharm Stat. 2011;10(4):357–362.

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