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
Predicting survival time for metastatic castration resistant prostate cancer: An iterative imputation approach F1000 Research
Using complex networks for refining survival prognosis in prostate cancer patient 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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