Your browser doesn't support javascript.
loading
A two-stage experimental design for dilution assays.
Ferguson, Jake M; Miura, Tanya A; Miller, Craig R.
Affiliation
  • Ferguson JM; Center for Modeling Complex Interactions, University of Idaho, Moscow, Idaho.
  • Miura TA; Current address: Department of Biology, University of Hawai'i at Manoa, Honolulu, Hawai'i.
  • Miller CR; Center for Modeling Complex Interactions, University of Idaho, Moscow, Idaho.
Biometrics ; 75(3): 1009-1016, 2019 09.
Article in En | MEDLINE | ID: mdl-30690720
Dilution assays to determine solute concentration have found wide use in biomedical research. Many dilution assays return imprecise concentration estimates because they are only done to orders of magnitude. Previous statistical work has focused on how to design efficient experiments that can return more precise estimates, however this work has not considered the practical difficulties of implementing these designs in the laboratory. We developed a two-stage experiment with a first stage that obtains an order of magnitude estimate and a second stage that concentrates effort on the most informative dilution to increase estimator precision. We show using simulations and an empirical example that the best two-stage experimental designs yield estimates that are remarkably more accurate than standard methods with equivalent effort. This work demonstrates how to utilize previous advances in experimental design in a manner consistent with current laboratory practice. We expect that multi-stage designs will prove to be useful for obtaining precise estimates with minimal experimental effort.
Subject(s)
Key words

Full text: 1 Database: MEDLINE Main subject: Research Design Type of study: Prognostic_studies Language: En Journal: Biometrics Year: 2019 Type: Article

Full text: 1 Database: MEDLINE Main subject: Research Design Type of study: Prognostic_studies Language: En Journal: Biometrics Year: 2019 Type: Article