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 Titlesort ascending Journal
Obstruction Predicts Worse Long-term Outcomes in Stage III Colon Cancer: A Secondary Analysis of the N0147 Trial Surgery
Nonparametric tests for multistate processes with clustered data AISM
Myocarditis Associated with Immune Checkpoint Inhibitors: an Expert Consensus on Data Gaps and a Call to Action The Oncologist
Myocarditis Associated with Immune Checkpoint Inhibitors: An Expert Consensus on Data Gaps and a Call to Action The Oncologist
Modeling tumor evolutionary dynamics to predict clinical outcomes for patients with metastatic colorectal cancer; a retrospective analysis American Association for Cancer Research
Minimizing Control Group Allocation in Randomized Trials Using Dynamic Borrowing of External Control Data – An Application to Second Line Therapy for Non-Small Cell Lung Cancer Contemporary Clinical Trials Communications
Metastatic Merkel Cell Carcinoma Masquerading as Multiple Immune-Related Adverse Events Case Reports in Dermatological Medicine
Merck to co-lead new oncology big data alliance PMLiVE
Merck KGaA, Darmstadt, Germany, Recognized for Collaborative Cancer Research by CEO Roundtable on Cancer PR Newswire
Matrix decomposition in meta‐analysis for extraction of adverse event pattern and patient‐level safety profile Pharmaceutical Statistics
Machine Learning Predicts Outcomes of Phase III Clinical Trials for Prostate Cancer Algorithms
Leveraging external data in the design and analysis of clinical trials in neuro-oncology Lancet Oncology
Learning Conditional Variational Autoencoders with Missing Covariates arXiv
Laboratory-Based Biomarkers and Liver Metastases in Metastatic Castration-Resistant Prostate Cancer The Oncologist

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