l. To provide data management support for the collection, editing, and entry of data from trials conducted by the NSABP; 2. To conduct a quality assurance program that encompasses the five major areas of: a) institutional performance monitoring (to include site visit audits), b) patient safety and treatment monitoring (to include medical review), c) cooperative group regulatory compliance monitoring (to include toxicity reporting), d) data quality monitoring (to include internal quality control), and e) continuing education; 3. To collaborate with the membership and colleagues in the Operations Center to design, implement, manage, and analyze clinical trials which address important therapeutic questions in breast and colorectal cancer; 4. To work with clinical colleagues in the design and analysis of ancillary studies addressing scientific issues adjunctive to the primary research efforts; 5. To communicate the results of our clinical trials through the publication of manuscripts and presentations; and 6. To develop, implement and publish innovative statistical methods in clinical trials design and analysis. In the proposed project period, we will introduce new initiatives to exploit the NSABP historical database, better utilize our Web site and Web-based technologies, evaluate and improve our quality assurance procedures, particularly in the area of medical review, and address NCI initiatives and reporting requirements. Concurrently, we will continue to improve the quality of our data and assure that scientific standards are maintained in the development and analysis of future studies.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Cooperative Clinical Research--Cooperative Agreements (U10)
Project #
5U10CA069651-08
Application #
6350188
Study Section
Subcommittee G - Education (NCI)
Program Officer
Mooney, Margaret M
Project Start
1995-04-28
Project End
2006-01-31
Budget Start
2001-02-01
Budget End
2002-01-31
Support Year
8
Fiscal Year
2001
Total Cost
$3,965,638
Indirect Cost
Name
University of Pittsburgh
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
053785812
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213
Saha, Poornima; Regan, Meredith M; Pagani, Olivia et al. (2017) Treatment Efficacy, Adherence, and Quality of Life Among Women Younger Than 35 Years in the International Breast Cancer Study Group TEXT and SOFT Adjuvant Endocrine Therapy Trials. J Clin Oncol 35:3113-3122
Balmert, Lauren; Jeong, Jong-Hyeon (2017) Nonparametric inference on quantile lost lifespan. Biometrics 73:252-259
Regan, M M; Walley, B A; Francis, P A et al. (2017) Concurrent and sequential initiation of ovarian function suppression with chemotherapy in premenopausal women with endocrine-responsive early breast cancer: an exploratory analysis of TEXT and SOFT. Ann Oncol 28:2225-2232
Ternès, Nils; Rotolo, Federico; Michiels, Stefan (2017) Robust estimation of the expected survival probabilities from high-dimensional Cox models with biomarker-by-treatment interactions in randomized clinical trials. BMC Med Res Methodol 17:83
Ribi, Karin; Bernhard, Jürg; Luo, Weixiu et al. (2016) Reply to F. Tomao et al. J Clin Oncol 34:4189-4190
Regan, Meredith M; Francis, Prudence A; Pagani, Olivia et al. (2016) Absolute Benefit of Adjuvant Endocrine Therapies for Premenopausal Women With Hormone Receptor-Positive, Human Epidermal Growth Factor Receptor 2-Negative Early Breast Cancer: TEXT and SOFT Trials. J Clin Oncol 34:2221-31
Phillips, Kelly-Anne; Regan, Meredith M; Ribi, Karin et al. (2016) Adjuvant ovarian function suppression and cognitive function in women with breast cancer. Br J Cancer 114:956-64
Christian, Nicholas J; Ha, Il Do; Jeong, Jong-Hyeon (2016) Hierarchical likelihood inference on clustered competing risks data. Stat Med 35:251-67
Ribi, Karin; Luo, Weixiu; Bernhard, Jürg et al. (2016) Adjuvant Tamoxifen Plus Ovarian Function Suppression Versus Tamoxifen Alone in Premenopausal Women With Early Breast Cancer: Patient-Reported Outcomes in the Suppression of Ovarian Function Trial. J Clin Oncol 34:1601-10
Ha, Il Do; Christian, Nicholas J; Jeong, Jong-Hyeon et al. (2016) Analysis of clustered competing risks data using subdistribution hazard models with multivariate frailties. Stat Methods Med Res 25:2488-2505

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