Many studies have shown that, in general, a combination of forecasts often outperforms the forecasts of a single model or expert. In this paper we postulate that obtaining forecasts is costly, and provide models for optimally selecting them. Based on normality assumptions, we derive a dynamic progra
Selection of optimal dose
โ Scribed by M.K. Khan; M.A. Khan
- Publisher
- Elsevier Science
- Year
- 1985
- Tongue
- English
- Weight
- 640 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0010-4809
No coin nor oath required. For personal study only.
โฆ Synopsis
Dose and dilution levels for quantal response bioassays and dilution assays are selected rather arbitrary. Some guidelines for designing experiments for binary data arising in such fields as bioassay studies, dilution series assays, and dose-response curves are provided. It is shown that for estimation purposes, the study should be designed in such a way so that the experimental doses lie around a critical interval. Failure to do so many produce serious bias in the Maximum Likelihood estimates. This critical interval, however, depends on the unknown parameters. With the help of extensive computer simulations for the logit model ways of overcoming this difficulty are outlined.
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