lorenzo trippa

16 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0001-5218-5666

Department of Biostatistics, Harvard T.H. Chan School of Public Health , Boston, MA , USA; Department of Data Science, Dana-Farber Cancer Institute , Boston, MA , USA

Publications

• Leveraging external data for testing experimental therapies with biomarker interactions in randomized clinical trials — Biometrika 2026
• Harmonized estimation of subgroup-specific treatment effects in randomized trials: the use of external control data — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2026
• Bayesian combinatorial MultiStudy factor analysis — The Annals of Applied Statistics 2023
• Prediction of hereditary cancers using neural networks — The Annals of Applied Statistics 2022
• Bayesian multistudy factor analysis for high-throughput biological data — The Annals of Applied Statistics 2021
• Estimating the Effects of Fine Particulate Matter on 432 Cardiovascular Diseases Using Multi-Outcome Regression With Tree-Structured Shrinkage — Journal of the American Statistical Association 2020
• Bayesian mixed effects models for zero-inflated compositions in microbiome data analysis — The Annals of Applied Statistics 2020 (name-matched, not ORCID-linked)
• Bayesian Uncertainty Directed Trial Designs — Journal of the American Statistical Association 2019
• Bayesian Nonparametric Ordination for the Analysis of Microbial Communities — Journal of the American Statistical Association 2017 (name-matched, not ORCID-linked)
• Bayesian regularization of the length of memory in reversible sequences — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2016
• Comment — Journal of the American Statistical Association 2016
• Bayesian nonparametric cross-study validation of prediction methods — The Annals of Applied Statistics 2015 (name-matched, not ORCID-linked)
• Improving Prediction from Dirichlet Process Mixtures via Enrichment — Journal of Machine Learning Research 2014 (name-matched, not ORCID-linked)
• Hierarchical Bayesian analysis of somatic mutation data in cancer — The Annals of Applied Statistics 2013 (name-matched, not ORCID-linked)
• Bayesian nonparametric analysis of reversible Markov chains — The Annals of Statistics 2013 (name-matched, not ORCID-linked)
• The multivariate beta process and an extension of the Polya tree model — Biometrika 2011