This proposal develops sequential designs for dose-finding clinical trials and association studies in genetics. The new methods are developed in situations where there are no existing methods or existing methods are not efficient. All research projects described below were motivated by one or more clinical trials at the Lineberger Comprehensive Cancer Center. The clinical settings are the following: (1) In the first setting, a dose-finding trial for a cytostatic agent is conducted. The outcome is bivariate binary, toxicity and therapeutic response. The goal is to find the optimal biological safe dose, the dose defined as the minimum of the dose with a specified toxicity rate and the dose with a specified response rate. (2) In the second setting, a dose- finding trial in oncology is conducted to find the dose with a certain rate of dose limiting toxicity. Toxicity outcome is binary and patients are followed for toxicity for a long period of time. The goal is to develop flexible and efficient designs for such trials. (3) In the third setting toxicity outcome is ordinal. The goal is to develop a study design to identify the dose with a target weighted average of the rates of different toxicity grades. (4) The fourth setting is a genome-wide association study. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA120082-03
Application #
7479665
Study Section
Biostatistical Methods and Research Design Study Section (BMRD)
Program Officer
Xie, Heng
Project Start
2006-09-26
Project End
2011-07-31
Budget Start
2008-08-01
Budget End
2011-07-31
Support Year
3
Fiscal Year
2008
Total Cost
$132,869
Indirect Cost
Name
University of North Carolina Chapel Hill
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
608195277
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599
Ivanova, Anastasia; Deal, Allison M (2016) Two-stage design for phase II oncology trials with relaxed futility stopping. Stat Interface 9:93-98
Ivanova, Anastasia; Wang, Yunfei; Foster, Matthew C (2016) The rapid enrollment design for Phase I clinical trials. Stat Med 35:2516-24
Song, Guochen; Ivanova, Anastasia (2015) Enrollment and Stopping Rules for Managing Toxicity Requiring Long Follow-Up in Phase II Oncology Trials. J Biopharm Stat 25:1206-14
Ivanova, Anastasia; Hoberman, Steven (2015) Higher order response adaptive urn designs for clinical trials with highly successful treatments. J R Stat Soc Ser C Appl Stat 64:175-189
Farnan, Laura; Ivanova, Anastasia; Peddada, Shyamal D (2014) Linear mixed effects models under inequality constraints with applications. PLoS One 9:e84778
Ivanova, Anastasia; Xiao, Changfu (2013) Dose finding when the target dose is on a plateau of a dose-response curve: comparison of fully sequential designs. Pharm Stat 12:309-14
Ivanova, Anastasia; Xiao, Changfu; Tymofyeyev, Yevgen (2012) Two-stage designs for Phase 2 dose-finding trials. Stat Med 31:2872-81
Xiao, Changfu; Ivanova, Anastasia (2012) Adaptive Isotonic Estimation of the Minimum Effective and Peak Doses in the Presence of Covariates. J Stat Plan Inference 142:1899-1907
Ho, Lindsey A; Lange, Ethan M (2010) Using public control genotype data to increase power and decrease cost of case-control genetic association studies. Hum Genet 128:597-608
Ivanova, Anastasia; Kim, Se Hee (2009) Dose finding for continuous and ordinal outcomes with a monotone objective function: a unified approach. Biometrics 65:307-15

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