Journal Publications

Project Data Sphere's success is ultimately measured by the practice-changing scientific insights discovered by the research community. We are proud to share the following list of peer-accepted publications, and we are grateful to the data providers, research scientists, and patients that make this possible.

Article Title Journal
Using complex networks for refining survival prognosis in prostate cancer patient F1000 Research
Predicting survival time for metastatic castration resistant prostate cancer: An iterative imputation approach F1000 Research
Survival prognosis and variable selection: A case study for metastatic castrate resistant prostate cancer patients F1000 Research
Two-step feature selection for predicting survival time of patients with metastatic castrate resistant prostate cancer F1000 Research
Effect of Breast Irradiation on Cardiac Disease in Women Enrolled in BCIRG-001 at 10-Year Follow-Up Radiation Oncology
Community mining of open clinical trial data Oncotarget
Project Data Sphere to Make Cancer Clinical Trial Data Publicly Available Journal of the National Cancer Institute
A DREAM Challenge to Build Prediction Models for Short-Term Discontinuation of Docetaxel in Metastatic Castration-Resistant Prostate Cancer Journal of Clinical Oncology
Heterogeneous ensembles for predicting survival of metastatic, castrate-resistant prostate cancer patients F1000 Research
The effect of post-mastectomy radiation in women with one to three positive nodes enrolled on the control arm of BCIRG-005 at ten year follow-up Radiotherapy and Oncology
The Prostate Cancer DREAM Challenge: A Community-Wide Effort to Use Open Clinical Trial Data for the Quantitative Prediction of Outcomes in Metastatic Prostate Cancer The Oncologist
The application of electronic medical records (EMRs) as a virtual comparator arm in a lung cancer clinical trial: A case study Journal of Clinical Oncology
The Project Data Sphere Initiative: Accelerating Cancer Research by Sharing Data The Oncologist
Sounding Board: Advantages of a Truly Open-Access Data-Sharing Model New England Journal of Medicine

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