The role of the Biostatistics Core is to support the investigators of the SPORE in Prostate Cancer in their research efforts, including laboratory experiments and the design and analysis of clinical trials. In preclinical studies, core members will assist in the formulation of the experimental design and in the analysis and interpretation of the data at the conclusion of the study. In the clinical trial design phase, a core member will conduct a protocol review with the principal investigator. Based on this review, a statistical section for the protocol will be provided, outlining major scientific objectives, population to be studied, primary and secondary endpoints, experimental design, a randomization procedure if necessary, analysis plans, and a targeted sample size justified in probabilistic terms. At the conclusion of the trial, data analyses will be performed to assess outcomes of the primary and secondary endpoints stated in the protocol.
The specific aims of the Biostatistics Core are to:
Aim 1 : Contribute to the design and analysis of laboratory-based prostate cancer research Aim 2: Contribute to the design and analysis of clinical studies in prostate cancer Aim 3: Develop statistical methodology that will assist in the advancement of prostate cancer research
The Biostatistics Core assists the research efforts of the MSKCC SPORE in Prostate Cancer investigators, contributing to the design and analysis of clinical and laboratory research and the development of valid conclusions. The core provides statistical analysis and consultancy as well as ongoing quality assurance. The core has also established a data quality working group to improve the quality of SPORE data.
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|Vertosick, Emily A; Assel, Melissa; Vickers, Andrew J (2017) A systematic review of instrumental variable analyses using geographic region as an instrument. Cancer Epidemiol 51:49-55|
|Bose, Rohit; Karthaus, Wouter R; Armenia, Joshua et al. (2017) ERF mutations reveal a balance of ETS factors controlling prostate oncogenesis. Nature 546:671-675|
|Yang, Zhaohui; Peng, Yu-Ching; Gopalan, Anuradha et al. (2017) Stromal hedgehog signaling maintains smooth muscle and hampers micro-invasive prostate cancer. Dis Model Mech 10:39-52|
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|Ku, Sheng Yu; Rosario, Spencer; Wang, Yanqing et al. (2017) Rb1 and Trp53 cooperate to suppress prostate cancer lineage plasticity, metastasis, and antiandrogen resistance. Science 355:78-83|
|Blattner, Mirjam; Liu, Deli; Robinson, Brian D et al. (2017) SPOP Mutation Drives Prostate Tumorigenesis In Vivo through Coordinate Regulation of PI3K/mTOR and AR Signaling. Cancer Cell 31:436-451|
|Vickers, Andrew J; Van Calster, Ben; Steyerberg, Ewout (2017) Decision Curves, Calibration, and Subgroups. J Clin Oncol 35:472-473|
|Hyman, David M; Smyth, Lillian M; Donoghue, Mark T A et al. (2017) AKT Inhibition in Solid Tumors With AKT1 Mutations. J Clin Oncol 35:2251-2259|
|Zhang, Pingzhao; Wang, Dejie; Zhao, Yu et al. (2017) Intrinsic BET inhibitor resistance in SPOP-mutated prostate cancer is mediated by BET protein stabilization and AKT-mTORC1 activation. Nat Med 23:1055-1062|
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