Multi-stage designs in dose-response studies

dc.contributor.advisorBrown, Barry W.en_US
dc.creatorSpears, Floyd Martinen_US
dc.date.accessioned2009-06-04T00:31:29Zen_US
dc.date.available2009-06-04T00:31:29Zen_US
dc.date.issued1993en_US
dc.description.abstractDesigns are explored that minimize the asymptotic variance of a single parameter in a dose-response study designed to estimate this parameter. An example is a design to find the dose producing 50% response. Uncertainty of parameter values of the dose-response curve is represented as a normal prior distribution. Because the integration of the criterion over the prior distribution is analytically untractable, numeric methods are used to find good designs. The extension to multi-stage experiments is straightforward. The normal prior distribution coupled with the asymptotically normal likelihood yields a normal posterior distribution that is used to optimize the succeeding stage. Simulation results suggest that the asymptotic methods are a good reflection of small sample properties of the designs, even with modest-sized experiments. If initial uncertainty of the parameters is large, two-stage designs can produce accuracy that would require a sample size fifty percent greater with a single-stage design.en_US
dc.format.extent84 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.callnoThesis Stat. 1993 Spearsen_US
dc.identifier.citationSpears, Floyd Martin. "Multi-stage designs in dose-response studies." (1993) Diss., Rice University. <a href="https://hdl.handle.net/1911/16671">https://hdl.handle.net/1911/16671</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/16671en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectStatisticsen_US
dc.titleMulti-stage designs in dose-response studiesen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentStatisticsen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelDoctoralen_US
thesis.degree.nameDoctor of Philosophyen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
9408669.PDF
Size:
2.71 MB
Format:
Adobe Portable Document Format