Core C The goals of Core C (Biostatistics and Data Management) are to provide expert biostatistical guidance in the design, conduct and analysis of research projects comprising the program project and to assist the clinical investigators in developing a reliable and accurate data management system. Core C will provide biostatistical support to the research projects at every stage of the research. Core staff will work with investigators to develop efficient designs and sample sizes that will give adequate power to address study objectives. For clinical studies, we will contribute to the design of case report forms that collect all required information in an unambiguous way. As studies proceed, Core staff will assist in reviewing project databases and monitoring the quantity and quality of data collected, and will suggest modifications to the design or analysis plan as appropriate. Core members will conduct correct and efficient data analyses, prepare any necessary graphs and tables, assist investigators with the preparation of presentations and manuscripts, and consult on the design of subsequent research. The work of Core C will interface with the Animal/Pathology Core, particularly with respect to study design, as animal studies are planned and executed. The Core C staff members have extensive experience supporting cancer research, with strong backgrounds in basic science, translational research and clinical trials in addition to being themselves researchers in statistical methods. With their many years of experience with the PDT group, they look forward to further collaborative opportunities for both applying existing methods and adapting or developing new methods as needed.
Core C Core C helps investigators determine whether results seen in their studies could have occurred just by chance or luck, and whether their results may be important to developing new treatments for mesothelioma.
|Kim, Michele M; Ghogare, Ashwini A; Greer, Alexander et al. (2017) On the in vivo photochemical rate parameters for PDT reactive oxygen species modeling. Phys Med Biol 62:R1-R48|
|Friedberg, Joseph S; Simone 2nd, Charles B; Culligan, Melissa J et al. (2017) Extended Pleurectomy-Decortication-Based Treatment for Advanced Stage Epithelial Mesothelioma Yielding a Median Survival of Nearly Three Years. Ann Thorac Surg 103:912-919|
|Penjweini, Rozhin; Kim, Michele M; Zhu, Timothy C (2017) Three-dimensional finite-element based deformable image registration for evaluation of pleural cavity irradiation during photodynamic therapy. Med Phys 44:3767-3775|
|Ahn, Peter H; Finlay, Jarod C; Gallagher-Colombo, Shannon M et al. (2017) Lesion Oxygenation Associates with Clinical Outcomes in Premalignant and Early Stage Head and Neck Tumors Treated on a Phase 1 Trial of Photodynamic Therapy. Photodiagnosis Photodyn Ther :|
|Yan, Lesan; Miller, Joann; Yuan, Min et al. (2017) Improved Photodynamic Therapy Efficacy of Protoporphyrin IX-Loaded Polymeric Micelles Using Erlotinib Pretreatment. Biomacromolecules 18:1836-1844|
|Penjweini, Rozhin; Kim, Michele M; Liu, Baochang et al. (2017) Evaluation of the 2-(1-Hexyloxyethyl)-2-devinyl pyropheophorbide (HPPH) mediated photodynamic therapy by macroscopic singlet oxygen modeling [J. Biophotonics 9, No. 11-12, 1344-1354 (2016)]. J Biophotonics 10:473-474|
|Kennedy, Gregory Thomas; Newton, Andrew; Predina, Jarrod et al. (2017) Intraoperative near-infrared imaging of mesothelioma. Transl Lung Cancer Res 6:279-284|
|Zhu, Timothy C; Kim, Michele M; Ong, Yi-Hong et al. (2017) A summary of light dose distribution using an IR navigation system for Photofrin-mediated Pleural PDT. Proc SPIE Int Soc Opt Eng 10047:|
|Gemmell, Nathan R; McCarthy, Aongus; Kim, Michele M et al. (2017) A compact fiber-optic probe-based singlet oxygen luminescence detection system. J Biophotonics 10:320-326|
|Kim, Michele M; Penjweini, Rozhin; Zhu, Timothy C (2017) Evaluation of singlet oxygen explicit dosimetry for predicting treatment outcomes of benzoporphyrin derivative monoacid ring A-mediated photodynamic therapy. J Biomed Opt 22:28002|
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