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
Analysis of composite endpoints with component-wise censoring in the presence of differential visit schedules Statistics in Medicine
Impact of primary tumor side on the outcomes of patients with non-metastatic colon cancer; a patient-level pooled analysis of two clinical trials Expert Review of Gastroenterology and Hepatology
Dose individualisation in oncology using chemotherapy‐induced neutropenia: Example of docetaxel in non‐small cell lung cancer patients British Journal of Clinical Pharmacology
Clinical Trial Data-sharing Policies Among Journals, Funding Agencies, Foundations, and Other Professional Organizations: A Scoping Review Journal of Clinical Epidemiology
Tumor Growth Rate Informs Treatment Efficacy in Metastatic Pancreatic Adenocarcinoma: Application of a Growth and Regression Model to Pivotal Trial and Real-World Data The Oncologist
Merck KGaA, Darmstadt, Germany, Recognized for Collaborative Cancer Research by CEO Roundtable on Cancer PR Newswire
Overcoming barriers to develop a broad access data sharing platform Journal of Clinical Oncology
Overcoming barriers to develop a broad access data sharing platform Journal of Clinical Oncology
Robust estimates of regional treatment effects in multiregional randomized clinical trials with ordinal responses Journal of Biopharmaceutical Statistics
A Bayesian approach for analyzing partly interval-censored data under the proportional hazards model Statistical Methods in Medical Research
Fish intake and risk of cardiovascular events: an analysis of the VITAL cohort European Journal of Clinical Nutrition
A novel prognostic model predicting overall survival in patients with metastatic castration-resistant prostate cancer receiving standard chemotherapy: A multi-trial cohort analysis The Prostate
Cancer patient survival can be parametrized to improve trial precision and reveal time-dependent therapeutic effects Nature Communications
Predicting survival time for metastatic castration resistant prostate cancer: An iterative imputation approach F1000 Research

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