1996
DOI: 10.1002/(sici)1097-0258(19960229)15:4<343::aid-sim163>3.0.co;2-f
|View full text |Cite
|
Sign up to set email alerts
|

Designing Studies for Dose Response

Abstract: 'Dose response' refers to the regression of a response on a stimulus. We review a number of options for dose-response designs, and compare various designs which may be used in practice. We start with two group designs. Next, we introduce basic optimal approximate design theory for simple linear and quadratic regression illustrating different criteria of optimality and their effect on the allocation of the levels of the dose. Then we obtain the efficiencies of these optimal approximate designs and some simple d… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
7
0

Year Published

2002
2002
2021
2021

Publication Types

Select...
5
4

Relationship

1
8

Authors

Journals

citations
Cited by 35 publications
(7 citation statements)
references
References 11 publications
0
7
0
Order By: Relevance
“…The differences between the sham and the minimal treatment (100 pulses at 100 V) groups were studied by an independent samples t test. The dependency of the extent of BBBd in the number of pulses and treatment voltage was studied using a linear regression analysis [37] both for the MRI experiments and the EB experiments. Linearity, homoscedasticity and normality of the residuals were verified.…”
Section: Discussionmentioning
confidence: 99%
“…The differences between the sham and the minimal treatment (100 pulses at 100 V) groups were studied by an independent samples t test. The dependency of the extent of BBBd in the number of pulses and treatment voltage was studied using a linear regression analysis [37] both for the MRI experiments and the EB experiments. Linearity, homoscedasticity and normality of the residuals were verified.…”
Section: Discussionmentioning
confidence: 99%
“…Even when there is good rationale for a uniform design, the choice for the number of points can be problematic. (30) Note: The D-and τ -efficiencies of the design ξ u are given, along with the D-efficiencies of…”
Section: Locally Optimal Designs For the Hunt-bowman Modelmentioning
confidence: 99%
“…The recommended clinical dose should be chosen from both efficacy and safety points of view experimental design are given by Pukelsheim (1993) and Wong and Lachenbruch (1996) , who have reviewed the dose-response design and used optimal design criteria for linear and quadric regression with some simulations. Use of an active drug as a control may not be strictly needed to define the shape of the dose-response curve, and for novel indications there may be no drug with the relevant activity.…”
Section: Statistical Issues In the Drug Evaluation Processmentioning
confidence: 92%