Clinical research is made by observation of clinical or biological events in small proportion of patients. From these observations we need to evaluate relationships among characteristics of our patients and outcomes in order to predict our outcomes. Regression models are statistics adopted to evaluate these relationships. In this chapter we will discuss most commonly adopted regression models, the linear and the logistic regressions. We also evaluate the differences among univariate and multiple regressions and the processes in building and interpreting these models.

Allievi, N., Ceresoli, M. (2022). Multivariate Analysis. In M. Ceresoli, F.M. Abu-Zidan, K.L. Staudenmayer, F. Catena, F. Coccolini (a cura di), Statistics and Research Methods for Acute Care and General Surgeons (pp. 77-87). Springer, Cham [10.1007/978-3-031-13818-8_7].

### Multivariate Analysis

#### Abstract

Clinical research is made by observation of clinical or biological events in small proportion of patients. From these observations we need to evaluate relationships among characteristics of our patients and outcomes in order to predict our outcomes. Regression models are statistics adopted to evaluate these relationships. In this chapter we will discuss most commonly adopted regression models, the linear and the logistic regressions. We also evaluate the differences among univariate and multiple regressions and the processes in building and interpreting these models.
##### Scheda breve Scheda completa Scheda completa (DC)
Capitolo o saggio
Linear regression; Multiple regression; Univariate analysis; Multiple regression; Logistic regression
English
Statistics and Research Methods for Acute Care and General Surgeons
Ceresoli, M; Abu-Zidan, FM; Staudenmayer, KL; Catena, F; Coccolini, F
14-dic-2022
2022
978-3-031-13817-1
Springer, Cham
77
87
Allievi, N., Ceresoli, M. (2022). Multivariate Analysis. In M. Ceresoli, F.M. Abu-Zidan, K.L. Staudenmayer, F. Catena, F. Coccolini (a cura di), Statistics and Research Methods for Acute Care and General Surgeons (pp. 77-87). Springer, Cham [10.1007/978-3-031-13818-8_7].
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Utilizza questo identificativo per citare o creare un link a questo documento: `https://hdl.handle.net/10281/401555`
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