Giardiello, D., Ratti, E., Austin P.C. (2026) The Impact of the Number and the Size of Clusters on Prediction Performance of the Stratified and the Conditional Shared Gamma Frailty Cox Proportional Hazards Models Biometrical Journal, https://doi.org/10.1002/bimj.70180
Austin, P.C., Giardiello, D. (2026). The impact of violation of proportional hazard assumption on the discrimination of the Cox proportional hazards model Diagnostic and Prognostic Research, https://doi.org/10.1186/s41512-026-00223-0
Austin, P.C., Giardiello, D. (2025). The impact of violation of proportional hazard assumption on the calibration of the Cox proportional hazards model Statistics in Medicine, https://doi.org/10.1002/sim.70161
Austin, P.C., Giardiello, D., van Buuren, S. (2023). Impute‐then‐exclude versus exclude‐then‐impute: Lessons when imputing a variable used both in cohort creation and as an independent variable in the analysis model. Statistics in Medicine, https://doi.org/10.1002/sim.9685
McLernon, D. J., Giardiello, D., Van Calster, B., Wynants, L., van Geloven, N., van Smeden, M., Therneau T., Steyerberg E.W. & topic groups 6 and 8 of the STRATOS Initiative. (2022). Assessing performance and clinical usefulness in prediction models with survival outcomes: Practical guidance for Cox proportional hazards models. Annals of Internal Medicine, https://doi.org/10.7326/M22-0844
van Geloven N., Giardiello, D., Bonneville E. F., Teece L., Ramspek C. L., van Smeeden M., Sneel K. I. E., van Calster B., Pohar-Perme M., Riley R. D., Putter H., & Steyerberg E. W. on behalf of the STRATOS initiative (2022). Validation of prediction models in the presence of competing risks: a guide through modern methods. British Medical Journal, 377:e069249, https://doi.org/10.1136/bmj-2021-069249
Austin, P. C., Putter, H., Giardiello, D., & van Klaveren, D. (2022). Graphical calibration curves and the integrated calibration index (ICI) for competing risk models. Diagnostic and prognostic research, 6(1), 1-22. https://doi.org/10.1186/s41512-021-00114-6
Giardiello, D., Antoniou, A. C., Mariani, L., Easton, D. F., & Steyerberg, E. W. (2020). a response to Ming’s study on machine learning techniques for personalized breast cancer risk prediction. Breast Cancer Research, 22(1), 1-2. https://doi.org/10.1186/s13058-020-1255-4
Giardiello, D., Hooning, M. J., Hauptmann, M., Keeman, R., Heemskerk-Gerritsen, B. A., Becher, H., … & Schmidt, M. K. (2022). PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in~ 200,000 patients. Breast Cancer Research, 24(1), 1-14. https://doi.org/10.1186/s13058-022-01567-3
van der Plas-Krijgsman, W. G.#, Giardiello, D.#, Putter, H., Steyerberg, E. W., Bastiaannet, E., Stiggelbout, A. M., … & de Glas, N. A. (2021). Development and validation of the PORTRET tool to predict recurrence, overall survival, and other-cause mortality in older patients with breast cancer in the Netherlands: a population-based study. The Lancet Healthy Longevity, 2(11), e704-e711. https://doi.org/10.1016/S2666-7568(21)00229-4
Giardiello, D., Hauptmann, M., Steyerberg, E. W., Adank, M. A., Akdeniz, D., Blom, J. C., … & Schmidt, M. K. (2020). Prediction of contralateral breast cancer: external validation of risk calculators in 20 international cohorts. Breast cancer research and treatment, 181(2), 423-434. https://doi.org/10.1007/s10549-020-05611-8
Giardiello, D., Steyerberg, E. W., Hauptmann, M., Adank, M. A., Akdeniz, D., Blomqvist, C., … & Schmidt, M. K. (2019). Prediction and clinical utility of a contralateral breast cancer risk model. Breast cancer research, 21(1), 1-13. https://doi.org/10.1186/s13058-019-1221-1
# authors contributed equally
Bozzetti, F., Cotogni, P., Lo Vullo, S., Pironi, L., Giardiello, D., & Mariani, L. (2015). Development and validation of a nomogram to predict survival in incurable cachectic cancer patients on home parenteral nutrition. Annals of Oncology, 26(11), 2335-2340.
Necchi, A., Sonpavde, G., Lo Vullo, S., Giardiello, D., Bamias, A., Crabb, S. J., … & RISC Investigators. (2017). Nomogram-based prediction of overall survival in patients with metastatic urothelial carcinoma receiving first-line platinum-based chemotherapy: retrospective international study of invasive/advanced cancer of the urothelium (RISC). European urology, 71(2), 281-289.
Huber, V., Di Guardo, L., Lalli, L., Giardiello, D., Cova, A., Squarcina, P., et al. (2021). Back to simplicity: a four-marker blood cell score to quantify prognostically relevant myeloid cells in melanoma patients. Journal for Immunotherapy of Cancer, 9(2). http://dx.doi.org/10.1136/jitc-2020-001167
Ferrari, A., Lo Vullo, S., Giardiello, D., Veneroni, L., Magni, C., Clerici, C. A., … & Mariani, L. (2016). The sooner the better? How symptom interval correlates with outcome in children and adolescents with solid tumors: regression tree analysis of the findings of a prospective study. Pediatric Blood & Cancer, 63(3), 479-485. https://doi.org/10.1002/pbc.25833