Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Lorenzo Trippa, Ph.D.

Co-Author

This page shows the publications co-authored by Lorenzo Trippa and Steffen Ventz.
Connection Strength

8.467
  1. Integration of survival data from multiple studies. Biometrics. 2021 Jun 30.
    View in: PubMed
    Score: 0.972
  2. The Use of External Control Data for Predictions and Futility Interim Analyses in Clinical Trials. Neuro Oncol. 2021 Jun 09.
    View in: PubMed
    Score: 0.968
  3. The effects of releasing early results from ongoing clinical trials. Nat Commun. 2021 02 05; 12(1):801.
    View in: PubMed
    Score: 0.946
  4. Bayesian Adaptive Randomization in Dose-Finding Trials. JAMA Netw Open. 2018 12 07; 1(8):e186075.
    View in: PubMed
    Score: 0.814
  5. Adding experimental arms to platform clinical trials: randomization procedures and interim analyses. Biostatistics. 2018 04 01; 19(2):199-215.
    View in: PubMed
    Score: 0.776
  6. Designing Clinical Trials That Accept New Arms: An Example in Metastatic Breast Cancer. J Clin Oncol. 2017 Sep 20; 35(27):3160-3168.
    View in: PubMed
    Score: 0.731
  7. Bayesian response-adaptive designs for basket trials. Biometrics. 2017 09; 73(3):905-915.
    View in: PubMed
    Score: 0.719
  8. Bayesian designs and the control of frequentist characteristics: a practical solution. Biometrics. 2015 Mar; 71(1):218-226.
    View in: PubMed
    Score: 0.606
  9. Inference in response-adaptive clinical trials when the enrolled population varies over time. Biometrics. 2021 Oct 21.
    View in: PubMed
    Score: 0.248
  10. Leveraging external data in the design and analysis of clinical trials in neuro-oncology. Lancet Oncol. 2021 10; 22(10):e456-e465.
    View in: PubMed
    Score: 0.247
  11. KMDATA: a curated database of reconstructed individual patient-level data from 153 oncology clinical trials. Database (Oxford). 2021 06 26; 2021.
    View in: PubMed
    Score: 0.243
  12. Shared and Usable Data From Phase 1 Oncology Trials-An Unmet Need. JAMA Oncol. 2020 07 01; 6(7):980-981.
    View in: PubMed
    Score: 0.227
  13. Lessons Learned from Deescalation Trials in Favorable Risk HPV-Associated Squamous Cell Head and Neck Cancer-A Perspective on Future Trial Designs. Clin Cancer Res. 2019 12 15; 25(24):7281-7286.
    View in: PubMed
    Score: 0.215
  14. Design and Evaluation of an External Control Arm Using Prior Clinical Trials and Real-World Data. Clin Cancer Res. 2019 08 15; 25(16):4993-5001.
    View in: PubMed
    Score: 0.211
  15. A Bayesian response-adaptive trial in tuberculosis: The endTB trial. Clin Trials. 2017 Feb; 14(1):17-28.
    View in: PubMed
    Score: 0.175
  16. Assessment of Simulated SARS-CoV-2 Infection and Mortality Risk Associated With Radiation Therapy Among Patients in 8 Randomized Clinical Trials. JAMA Netw Open. 2021 03 01; 4(3):e213304.
    View in: PubMed
    Score: 0.059
  17. A Quantitative Framework for Modeling COVID-19 Risk During Adjuvant Therapy Using Published Randomized Trials of Glioblastoma in the Elderly. Neuro Oncol. 2020 Apr 27.
    View in: PubMed
    Score: 0.056
  18. To randomize, or not to randomize, that is the question: using data from prior clinical trials to guide future designs. Neuro Oncol. 2019 10 09; 21(10):1239-1249.
    View in: PubMed
    Score: 0.054
  19. Deviation from the Proportional Hazards Assumption in Randomized Phase 3 Clinical Trials in Oncology: Prevalence, Associated Factors, and Implications. Clin Cancer Res. 2019 11 01; 25(21):6339-6345.
    View in: PubMed
    Score: 0.053
  20. Divining responder populations from survival data. Ann Oncol. 2019 06 01; 30(6):1005-1013.
    View in: PubMed
    Score: 0.053
  21. The clinical trials landscape for glioblastoma: is it adequate to develop new treatments? Neuro Oncol. 2018 07 05; 20(8):1034-1043.
    View in: PubMed
    Score: 0.049
  22. Bayesian adaptive randomization in a clinical trial to identify new regimens for MDR-TB: the endTB trial. Int J Tuberc Lung Dis. 2016 12 01; 20(12):8-12.
    View in: PubMed
    Score: 0.044
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.