Back to Search
Start Over
Design and Analysis of Drug Combination Experiments
- Source :
- Biometrical Journal. 47:299-308
- Publication Year :
- 2005
- Publisher :
- Wiley, 2005.
-
Abstract
- In this paper we present and discuss a novel, simple and easy to implement parametric modeling approach to assess synergy. An extended three parameter log-logistic model is used to analyse the data and calculate confidence intervals of the interaction indices. In addition the model corrects for the bias due to plate-location effects. The analysis is performed with PROC NLMIXED and SAS-code is provided. The approach is illustrated using data coming from an oncology study in which the inhibition effect of a combination of two compounds is studied using 96-well plates and a fixed-ratio design.
- Subjects :
- Statistics and Probability
Biometry
Computer science
Treatment outcome
Drug Evaluation, Preclinical
Unbiased Estimation
Models, Biological
Hill's muscle model
Statistics
Animals
Computer Simulation
Inhibitory effect
Clinical Trials as Topic
Models, Statistical
Dose-Response Relationship, Drug
Logistic distribution
Data interpretation
General Medicine
Confidence interval
Rats
Drug Combinations
Treatment Outcome
Data Interpretation, Statistical
Parametric model
Statistics, Probability and Uncertainty
Algorithm
Algorithms
Subjects
Details
- ISSN :
- 15214036 and 03233847
- Volume :
- 47
- Database :
- OpenAIRE
- Journal :
- Biometrical Journal
- Accession number :
- edsair.doi.dedup.....e6e307f95193f8492bd2ad918c6ce56f
- Full Text :
- https://doi.org/10.1002/bimj.200410124