Publications
A Bayesian Adaptive Design for Phase I/II Clinical Trials in Oncology
Published in the Journal of Clinical Oncology, this paper introduces a novel adaptive design that improves the efficiency of early-phase clinical trials.
Read MoreMachine Learning for Predictive Modeling of Cancer Patient Survival
This article in Nature Medicine showcases the application of machine learning algorithms for predicting patient survival and treatment response.
Read MoreStatistical Methods for the Analysis of Real-World Evidence in Oncology
A comprehensive review of statistical methods for analyzing real-world data, published in the Annals of Oncology.
Read MoreDatasets
Simulated Clinical Trial Data for Adaptive Design
A collection of simulated datasets for testing and validating adaptive clinical trial designs. Available for download in various formats.
Access DatasetAnonymized Genomic Data from Pan-Cancer Analysis
A large-scale, anonymized genomic dataset from a pan-cancer analysis, suitable for biomarker discovery and validation studies.
Access DatasetGuidelines
Statistical Guidelines for Cancer Clinical Trials
A set of best-practice guidelines for the statistical design and analysis of cancer clinical trials, developed in collaboration with international regulatory agencies.
Download PDFData Sharing and Anonymization Policy
Our policy and guidelines for the responsible sharing and anonymization of clinical trial data.
Download PDFTraining
Workshop on Adaptive Clinical Trial Design
An annual workshop for statisticians and clinical researchers on the theory and practice of adaptive clinical trial design.
Learn MoreOnline Course in Medical Statistics for Oncologists
A self-paced online course designed to provide oncologists with a solid foundation in medical statistics.
Enroll Now