The Biostatistics and Data Management Core for the University of Texas M. D. Anderson Cancer Center Oral Cancer P01 will be a comprehensive, multi-lateral resource for data acquisition and management, designing clinical and basic science experiments, developing innovative statistical methodology, statistical analysis, and publishing translational research generated by the program project. The Biostatistics and Data Management Core will incorporate sound experimental design principles within each project that will increase the clarity and enhance interpretability of study results. Each project will be provided with tailored analyses, accompanied by novel statistical development as necessary, to reveal apparent and hidden relationships among data. The Biostatistics and Data Management Core will provide expertise in the design of an integrated data management system to facilitate communication among all projects and cores. This process includes prospective data collection, data quality control, data security, and assurance of patient confidentiality. The Biostatistics and Data Management Core will collaborate with all project investigators to facilitate the timely publication of all data collected under the P01 research program. The main objectives of the Biostatistics and Data Management Core are: 1. To provide the statistical design, sample size and power calculations for each project. 2. To facilitate prospective collection, entry, quality control, and integration of data for the basic science, pre-clinical, clinical, and epidemiological studies associated with the Oral Cancer P01. 3. To provide study monitoring and conduct that ensures patient safety by timely reporting of toxicity and interim analysis results to various IRBs, the Data Monitoring Committee, the NCI, and other regulatory agencies. 4. To develop a secure, international, internet-driven database network between the Norwegian Radium Hospital and UTMDACC that integrates the clinical data generated by the clinical research program and subsequent epidemiological and basic science research efforts of the program project. 5. To develop a comprehensive web-based database management system for tracking, distribution, and central repository of all Oral Cancer P01 biomarker data. 6. To provide all statistical data analysis including descriptive statistical analysis, hypothesis testing, estimation, and modeling of prospectively generated data. 7. To develop & adapt innovative statistical methods pertinent to biomarker-integrated translational oral cancer studies. 8. To generate statistical reports for all projects and to collaborate and assist all project investigators in the publication of scientific results.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
1P01CA106451-01
Application #
6990042
Study Section
Subcommittee G - Education (NCI)
Project Start
2004-08-01
Project End
2009-07-31
Budget Start
2004-08-01
Budget End
2005-07-31
Support Year
1
Fiscal Year
2004
Total Cost
$161,422
Indirect Cost
Name
University of Texas MD Anderson Cancer Center
Department
Type
DUNS #
800772139
City
Houston
State
TX
Country
United States
Zip Code
77030
William Jr, William N; Papadimitrakopoulou, Vassiliki; Lee, J Jack et al. (2016) Erlotinib and the Risk of Oral Cancer: The Erlotinib Prevention of Oral Cancer (EPOC) Randomized Clinical Trial. JAMA Oncol 2:209-16
Wan, Y; Datta, S; Conklin, D J et al. (2015) Variable selection models based on multiple imputation with an application for predicting median effective dose and maximum effect. J Stat Comput Simul 85:1902-1916
Aristizabal, Paula; Singer, Jenelle; Cooper, Renee et al. (2015) Participation in pediatric oncology research protocols: Racial/ethnic, language and age-based disparities. Pediatr Blood Cancer 62:1337-44
Mak, Milena P; William Jr, William N (2014) Targeting the epidermal growth factor receptor for head and neck cancer chemoprevention. Oral Oncol 50:918-23
William Jr, William N; Papadimitrakopoulou, Vassiliki A (2013) Optimizing biomarkers and endpoints in oral cancer chemoprevention trials. Cancer Prev Res (Phila) 6:375-8
William Jr, William N (2012) Oral premalignant lesions: any progress with systemic therapies? Curr Opin Oncol 24:205-10
Saintigny, Pierre; Zhang, Li; Fan, You-Hong et al. (2011) Gene expression profiling predicts the development of oral cancer. Cancer Prev Res (Phila) 4:218-29
Diao, Lixia; Clarke, Charlotte H; Coombes, Kevin R et al. (2011) Reproducibility of SELDI Spectra Across Time and Laboratories. Cancer Inform 10:45-64
Lee, J Jack; Wu, Xifeng; Hildebrandt, Michelle A T et al. (2011) Global assessment of genetic variation influencing response to retinoid chemoprevention in head and neck cancer patients. Cancer Prev Res (Phila) 4:185-93
Boyle, Jay O; Gumus, Zeynep H; Kacker, Ashutosh et al. (2010) Effects of cigarette smoke on the human oral mucosal transcriptome. Cancer Prev Res (Phila) 3:266-78

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