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 Journalsort descending
Predicting outcomes of phase III oncology trials with Bayesian mediation modeling of tumor response Statistics in Medicine
Analysis of composite endpoints with component-wise censoring in the presence of differential visit schedules Statistics in Medicine
Generalizable EHR-R-REDCap pipeline for a national multi-institutional rare tumor patient registry Jamia Open
Exploring the Potential of External Control Arms created from Patient Level Data: A case study in non-small cell lung cancer Journal of Biopharmaceutical Statistics
Potential evidence of peritoneal recurrence in Stage-II colon cancer from the control arm of CALGB9581 The American Journal of Surgery
Nonparametric tests for multistate processes with clustered data AISM
Cancer patient survival can be parametrized to improve trial precision and reveal time-dependent therapeutic effects Nature Communications
Prognostic significance of baseline neutrophil–lymphocyte ratio in patients with non-small-cell lung cancer: a pooled analysis of open phase III clinical trial data futuremedicine
Artificial Intelligence Comes of Age in the Fight Against Cancer Oncology Times
A workflow for the joint modeling of longitudinal and event data in the development of therapeutics: Tools, statistical methods, and diagnostics ASCPT
Learning Conditional Variational Autoencoders with Missing Covariates arXiv
Translation of Prognostic and Pharmacodynamic Biomarkers from Trial to Non-trial Patients with Metastatic Castration-resistant Prostate Cancer Treated with Docetaxel Clinical Oncology
Estimation of a Suitable Number of Patients for Selective Safety Data Collection (ICH E19 Draft Guideline): When is the Safety Profile of a Drug Well Characterized? Therapeutic Innovation & Regulatory Science
Using horseshoe prior for incorporating multiple historical control data in randomized controlled trials Sage Journals

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