Awardee OrganizationSLOAN-KETTERING INST CAN RESEARCH
Description
Abstract Text
PROJECT SUMMARY
The biostatistics core will support all statistical analyses and design of experiments for the Program project
application entitled “Immunologic Approaches to Ovarian Cancer” lead by Dr Spriggs. The role of the
biostatistics core is to support the investigators of the Program Project (P01) in Ovarian Cancer in their
research efforts, including designing and analyzing in-vivo and in-vitro experiments, tumor biology studies, and
clinical trials. In all 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 design phase, a core member will
collaborate with the investigators in outlining major scientific objectives, population to be studied, primary and
secondary endpoints, experimental design, a trial design and a protocol review if necessary, analysis plans,
and a targeted sample size justified in probabilistic terms. At the conclusion of the experiment, data analyses
will be performed to assess outcomes of the primary and secondary aims as stated in the P01 application. The
molecular epidemiology of ovarian cancer will be investigated using array experiments, experiments in cell
lines, animals and patients. The specific aims of the biostatistics core are the following: 1) Contribute to the
design and analysis of laboratory studies, tumor biology studies, and clinical trials in ovarian cancer research.
2) Assist investigators in assembling study databases, monitoring data quality, and reviewing the adequacy of
design assumptions. 3) Prepare reports for the internal and external advisory committees. 4) Write project
manuscripts in collaboration with project investigators. 5) Suggest analysis and design strategies for future
studies.6) Develop statistical methodology that will assist in the advancement of ovarian cancer research. Dr.
Iasonos will be the director of the Biostatistics Core and she will be responsible for the design and analysis of
clinical experiments. She will complete this task with the assistance of Ms Zhou who has been working with
oncologists, surgeons and pathologists from the Gynecologic service since 2006. Dr. Seshan who is currently
the Director of Biostatistics Computer-Intensive Support Services will provide an advisory role since he has
been a co-director of the Core for the Ovarian P01 for the past 15 years. Finally, the core will utilize the
Biostatistics Service at Memorial Sloan Kettering Cancer Center (MSKCC). The Service consists currently of
35 biostatisticians, 19 of them with professional staff appointments and 16 with masters degrees and research
appointments.
Public Health Relevance Statement
PROJECT NARRATIVE
The biostatistics core will support all statistical analyses and design of experiment for the Program project
application entitled “Immunologic Approaches to Ovarian Cancer” lead by Dr Spriggs. The research will be
conducted at three sites: Memorial Sloan-Kettering Cancer Center, Mount Sinai School of Medicine, and
Rockefeller University. The role of the biostatistics core is to support all the investigators and leaders of all
projects of the Program Project (P01) in Ovarian Cancer in their research efforts. This includes designing and
analyzing all pre-clinical experiments, tumor biology studies, and clinical trials. In all 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 design phase, a core member will collaborate with the investigators in outlining
major scientific objectives, population to be studied, primary and secondary endpoints, experimental design, a
trial design and a protocol review if necessary, analysis plans, and a targeted sample size.
No Sub Projects information available for 3P01CA190174-05S1 7471
Publications
Publications are associated with projects, but cannot be identified with any particular year of the project or fiscal year of funding. This is due to the continuous and cumulative nature of knowledge generation across the life of a project and the sometimes long and variable publishing timeline. Similarly, for multi-component projects, publications are associated with the parent core project and not with individual sub-projects.
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Outcomes
The Project Outcomes shown here are displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed are those of the PI and do not necessarily reflect the views of the National Institutes of Health. NIH has not endorsed the content below.
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Clinical Studies
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History
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