The following publications are possibly variants of this publication:
- Modelling the hospital length of stay for patients undergoing laparoscopic cholecystectomy through a multiple regression modelArianna Scala, Teresa Angela Trunfio, Anna Borrelli, Giuseppe Ferrucci, Maria Triassi, Giovanni Improta. icmhi 2021: 68-72 [doi]
- Lean Six Sigma approach to the study of the LOS of patients who undergo laparoscopic cholecystectomy: a bicentric studyEmma Montella, Marta Rosaria Marino, Massimo Majolo, Eliana Raiola, Giuseppe Russo, Giuseppe Longo, Michele Sparano, Anna Borrelli, Maria Triassi. icmhi 2022: 247-252 [doi]
- Multiple Regression Model to Analyze the Length of Stay for Patients Undergoing Laparoscopic Appendectomy: A Bicentric StudyEmma Montella, Marta Rosaria Marino, Alessandro Frangiosa, Giuseppe Mazia, Massimo Majolo, Eliana Raiola, Giuseppe Russo, Giuseppe Longo, Giovanni Rossi, Anna Borrelli, Maria Triassi. becb 2023: 410-419 [doi]
- Multiple regression model to analyze the total LOS for patients undergoing laparoscopic appendectomyTeresa Angela Trunfio, Arianna Scala, Cristiana Giglio, Giovanni Rossi, Anna Borrelli, Maria Romano, Giovanni Improta. midm, 22(1):141, 2022. [doi]
- Regression Model to Predict LOS in General Medicine Department: A Bicentric StudyEmma Montella, Marta Rosaria Marino, Cristiana Giglio, Giuseppe Longo, Eliana Raiola, Maria Triassi, Anna Borrelli, Antonio Saverio Valente. becb 2023: 570-576 [doi]
- Application of the Lean Six Sigma approach to the study of the LOS of patients who undergo laparoscopic cholecystectomy at the San Giovanni di Dio and Ruggi d'Aragona University HospitalTeresa Angela Trunfio, Arianna Scala, Anna Borrelli, Michele Sparano, Maria Triassi, Giovanni Improta. icmhi 2021: 50-54 [doi]