American Psychological Association 6th edition

Cipriani, M., Di Rocco, L., Puopolo, M., & Alfò, M. (2025). A flexible parametric approach to synthetic patients generation using health data. Statistical Methods & Applications, 34(4), 639-662. https://doi.org/10.1007/s10260-025-00800-5

ISO-690 (author-date, English)

CIPRIANI, Marta, DI ROCCO, Lorenzo, PUOPOLO, Maria and ALFÒ, Marco, 2025. A flexible parametric approach to synthetic patients generation using health data. Statistical Methods & Applications. 1 September 2025. Vol. 34, no. 4, p. 639-662. DOI 10.1007/s10260-025-00800-5.

Modern Language Association 9th edition

Cipriani, M., L. Di Rocco, M. Puopolo, and M. Alfò. “A Flexible Parametric Approach to Synthetic Patients Generation Using Health Data.”. Statistical Methods & Applications, vol. 34, no. 4, Sept. 2025, pp. 639-62, https://doi.org/10.1007/s10260-025-00800-5.

Mohr Siebeck - Recht (Deutsch - Österreich)

Cipriani, Marta/Di Rocco, Lorenzo/Puopolo, Maria/Alfò, Marco: A flexible parametric approach to synthetic patients generation using health data., Statistical Methods & Applications 2025, 639-662.

Emerald - Harvard

Cipriani, M., Di Rocco, L., Puopolo, M. and Alfò, M. (2025), “A flexible parametric approach to synthetic patients generation using health data.”, Statistical Methods & Applications, Vol. 34 No. 4, pp. 639-662.

Warning: These citations may not always be 100% accurate.