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Efficient Analysis of Experimental Observations
Abstract
The prime goal of this chapter is to encourage researchers in pharmacology to make use of some of the statistical techniques developed in recent years that could increase the efficiency of their analyses. The topics we have chosen to illustrate are fractional replicates of fac torial experiments, single degrees of freedom and half-normal plots in the analysis of variance, robust estimation, and up-and-down method for quan tal responses. Briefly, the advantages of the techniques illustrated here are the follow ing.
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Cited by
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DeWire, S. M., Yamashita, D. S., Rominger, D. H., Liu, G., Cowan, C. L., Graczyk, T. M., Chen, X.-T., Pitis, P. M., Gotchev, D., Yuan, C., et al. (2013) · The Journal of Pharmacology and Experimental Therapeutics · doi:10.1124/jpet.112.201616 · Cited by 647
Ibrahim, M. M., Deng, H., Zvonok, A., Cockayne, D. A., Kwan, J., Mata, H. P., Vanderah, T. W., Lai, J., Porreca, F., Makriyannis, A., et al. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1834309100 · Cited by 491
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Zhuang, Z.-Y., Kawasaki, Y., Tan, P.-H., Wen, Y.-R., Huang, J., & Ji, R.-R. (2007) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2006.11.003 · Cited by 371
Metadata
- Authors
- Dixon, W. J.
- Venue
- Annual Review of Pharmacology and Toxicology
- Publisher
- Annual Reviews
- Published
- 1980-04
- Volume
- 20
- Issue
- 1
- Pages
- 441-462
- ISSN
- 0362-1642 (ISSN-L)
- 1545-4304
- OpenAlex
- W2103351070
- Cited by
- 2,208
- References
- 0
- FWCI
- 0.58
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
