The goal of the Data Management and analysis Core is to provide data management and statistical analysis Services. A broad range of services and collaboration will be provided. Core members will serve as true collaborators, having been involved from the conception of each Project through its design. Core members will continue to be involved in all projects through assistance and advising regarding data collection, analysis, summarizing the results, and manuscript preparation. The Data Management and Analysis core will provide the following services: 1. Data management a. Implement a data management framework to facilitate statistical analysis, through establishing and maintaining interaction among the Core Leader, Biostatistician, Programmer Analyst, and Medical Informatician. b. Determine Project-specific data management requirements and refine those as needed. c. Design and implement procedures for enrolling and tracking subjects and tracking the flow of data through the various phases of the projects. d. Design and implement procedures for input forms design and coding, data entry and validation, acquisition of data from existing sources and database systems, quality assurance, and reporting of data. e. Design, test, implement, and maintain database structures and application programs. 2. Biostatistics a. Advise on study design issues as the studies evolve. b. Implement analytical methods defined in the Project-specific proposals. c. Conduct interim analyses, and assist with writing interim reports. d. Conduct final analyses and assist with preparation for a writing of final reports, abstracts, manuscripts, and future research proposals. e. Conduct exploratory analyses that may lead to generation of new hypotheses.
| Kanetsky, Peter A; Panossian, Saarene; Elder, David E et al. (2010) Does MC1R genotype convey information about melanoma risk beyond risk phenotypes? Cancer 116:2416-28 |
| Gimotty, Phyllis A; Van Belle, Patricia; Elder, David E et al. (2005) Biologic and prognostic significance of dermal Ki67 expression, mitoses, and tumorigenicity in thin invasive cutaneous melanoma. J Clin Oncol 23:8048-56 |
| Gimotty, Phyllis A; Guerry, DuPont; Ming, Michael E et al. (2004) Thin primary cutaneous malignant melanoma: a prognostic tree for 10-year metastasis is more accurate than American Joint Committee on Cancer staging. J Clin Oncol 22:3668-76 |
| Kanetsky, Peter A; Ge, Fan; Najarian, Derek et al. (2004) Assessment of polymorphic variants in the melanocortin-1 receptor gene with cutaneous pigmentation using an evolutionary approach. Cancer Epidemiol Biomarkers Prev 13:808-19 |
| Zeigler-Johnson, Charnita; Panossian, Saarene; Gueye, Serigne M et al. (2004) Population differences in the frequency of the agouti signaling protein g.8818a>G polymorphism. Pigment Cell Res 17:185-7 |
| Seykora, John T; Jih, Debbie; Elenitsas, Rosalie et al. (2003) Gene expression profiling of melanocytic lesions. Am J Dermatopathol 25:6-11 |
| Kanetsky, Peter A; Swoyer, Jennifer; Panossian, Saarene et al. (2002) A polymorphism in the agouti signaling protein gene is associated with human pigmentation. Am J Hum Genet 70:770-5 |
| Blackwood, M Anne; Holmes, Robin; Synnestvedt, Marie et al. (2002) Multiple primary melanoma revisited. Cancer 94:2248-55 |
| McGinnis, Karen S; Lessin, Stuart R; Elder, David E et al. (2002) Pathology review of cases presenting to a multidisciplinary pigmented lesion clinic. Arch Dermatol 138:617-21 |
| Rebbeck, Timothy R; Kanetsky, Peter A; Walker, Amy H et al. (2002) P gene as an inherited biomarker of human eye color. Cancer Epidemiol Biomarkers Prev 11:782-4 |
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