I am a Statistician at Novartis. Before, I was a Marie Curie fellow in the EU-funded network IDEAS. I was based in Politecnico di Torino and I was working under the supervision of Prof. Mauro Gasparini and under the co-supervision of Prof. Mourad Tighiouart (Cedars-Sinai Medical Center, USA). I have a strong interest and great enthusiasm for methodological research to improve efficiency of the design and analysis of clinical trials. See my Google scholar profile.
Education
PhD in Statistics (2018) – Politecnico di Torino, Italy.
Research Interests
Bayesian methods, phase I-II clinical trials, survival analysis.
Selected Publications in Phase I and Phase I-II Clinical Trial Designs
Articles in refereed journals
- Tighiouart, M., Jiménez, J. L., Diniz, M.A. and Rogatko, A. (2022+). Modeling synergism in early phase cancer trials with drug combination with continuous dose levels: is there an added value?. Brazilian Journal of Biometrics. In Press. [arXiv Link]
- Jiménez, J. L. and Tighiouart, M. (2022). Combining cytotoxic agents with continuous dose levels in seamless phase I-II clinical trials. Journal of the Royal Statistical Society: Series C (Applied Statistics), 71(5), 1996-2013. [Link]
- Jiménez, J. L., Kim, S. and Tighiouart, M. (2020). A Bayesian seamless phase I–II trial design with two stages for cancer clinical trials with drug combinations. Biometrical Journal, 62(5), 1300-1314. [Link + R code]
- Jiménez, J. L., Tighiouart, M. and Gasparini, M. (2019). Cancer phase I trial design using drug combinations when a fraction of dose limiting toxicities is attributable to one or more agents. Biometrical Journal, 61(2), 319-332. [Link]. [Github Respository]
Book Chapters (peer-reviewed)
- Jiménez, J. L., Diniz, M.A., Rogatko, A., and Tighiouart, M. (2021). Designs of Early Phase Cancer Trials with Drug Combinations. In Modern Statistical Methods for Health Research (pp. 131-160). Springer, Cham.
Manuscripts under review
- Jiménez, J. L. and Zheng, H. A Bayesian adaptive design for dual-agent phase I-II cancer clinical trials combining efficacy data across stages. [arXiv Link] (under review)
Selected Publications in Survival Analysis
Articles in refereed journals
- Magirr, D. and Jiménez, J. L.(2022+). Stratified modestly-weighted log-rank tests in settings with an anticipated delayed separation of survival curves. Accepted for Publication in Biometrical Journal. [arXiv Link]
- Magirr, D. and Jiménez, J. L. (2022). Design and Analysis of group-sequential clinical trials based on a modestly-weighted log-rank test in anticipation of a delayed separation of survival curves: A practical guidance. Clinical Trials, 19(2), 201-210. [Link + R code]
- Jiménez, J. L. (2022). Quantifying treatment differences in confirmatory trials under non-proportional hazards. Journal of Applied Statistics, 49(2), 466-484. [Link] [Github Respository]
- Jiménez, J. L., Niewczas, J., Bore, A. and Burman, C. F. (2021). A modified weighted log-rank test for confirmatory trials with a high proportion of treatment switching. Plos One, 16(11): e0259178. [Link + R code]
- Jiménez, J. L., Stalbovskaya, V. and Jones, B. (2019). Properties of the weighted log‐rank test in the design of confirmatory studies with delayed effects. Pharmaceutical statistics, 18(3), 287-303. [Link].
Latest Presentations
- [2022] Invited talk at COMPSTAT 2022 Conference, Bologna, Italy
- [2021] Invited talk at PSI One-Day Meeting: Non-proportional hazards and applications in immuno-oncology, Online.
- [2021] Contributed talk at ISBA World Meeting, Online.
- [2019] Invited talk at International Symposium in Biopharmaceutical Statistics, Kyoto, Japan.
- [2019] Invited talk at Servier’s symposium on Innovative Statistical Methods in Oncology, Paris, France.
Contact
jose_luis dot jimenez at novartis dot com