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Use of simultaneous inference under ...

Jia, Gang.

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Use of simultaneous inference under order restriction, stepdown testing procedure and stage-wise sequential optimal design in clinical dose study.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Use of simultaneous inference under order restriction, stepdown testing procedure and stage-wise sequential optimal design in clinical dose study./
Author:	Jia, Gang.
Description:	129 p.
Notes:	Source: Dissertation Abstracts International, Volume: 65-12, Section: B, page: 6461.
Contained By:	Dissertation Abstracts International65-12B.
Subject:	Statistics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3159053
ISBN:	0496919628

Use of simultaneous inference under order restriction, stepdown testing procedure and stage-wise sequential optimal design in clinical dose study.
Jia, Gang.

Use of simultaneous inference under order restriction, stepdown testing procedure and stage-wise sequential optimal design in clinical dose study. - 129 p.

Source: Dissertation Abstracts International, Volume: 65-12, Section: B, page: 6461.

Thesis (Ph.D.)--University of Pittsburgh, 2004.

This dissertation discusses the design approaches of adaptive dose escalation study and the analysis methods of dose study data, and the relationship between the study design approach and data analysis methods.

ISBN: 0496919628Subjects--Topical Terms:

517247
Statistics.

Use of simultaneous inference under order restriction, stepdown testing procedure and stage-wise sequential optimal design in clinical dose study.
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100 1 $a Jia, Gang. $3 1903954
245 1 0 $a Use of simultaneous inference under order restriction, stepdown testing procedure and stage-wise sequential optimal design in clinical dose study.
300 $a 129 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-12, Section: B, page: 6461.
500 $a Adviser: Leon J. Gleser.
502 $a Thesis (Ph.D.)--University of Pittsburgh, 2004.
520 $a This dissertation discusses the design approaches of adaptive dose escalation study and the analysis methods of dose study data, and the relationship between the study design approach and data analysis methods.
520 $a A general max-min approach to construct simultaneous confidence intervals for the monotone means of correlated and normally distributed random samples is proposed to analyze correlated dose response data. The approach provides an accurate, flexible and computation ally easy way to obtain critical values of simultaneous confidence intervals under monotone order restriction.
520 $a A stepdown testing procedure for analyzing dose study data is examined and a modified stepdown testing approach is proposed to incorporate the adaptive sampling nature of the study data. A mixture normal approximate approach of the dose response is proposed to analyze the binary outcome with small sample size at the first stage of the adaptive design.
520 $a Finally, an optimal stage-wise adaptive clinical dose study design is proposed to be applied in a dose escalation study with binary outcome and correlated dose response. The study design criteria is defined as a weighted average power to identify all effective dose levels. A back-induction algorithm is used to obtain the optimal design parameters. The values of optimal design parameters vary when different analysis methods are used to analyze the study data.
520 $a Simulation studies are performed to illustrate the two proposed analysis methods and the proposed optimal design approach.
590 $a School code: 0178.
650 4 $a Statistics. $3 517247
650 4 $a Biology, Biostatistics. $3 1018416
690 $a 0463
690 $a 0308
710 2 0 $a University of Pittsburgh. $3 958527
773 0 $t Dissertation Abstracts International $g 65-12B.
790 1 0 $a Gleser, Leon J., $e advisor
790 $a 0178
791 $a Ph.D.
792 $a 2004
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3159053