Time-to-Event Models

How it works

Comparisons

Highlighted claims

• The final model used parametric survival time regression with a lognormal hazard distribution. — Promising solution for standardised length of hospital stay based on time-to-event models and contemporary Australian administrative data
• Hospital-related factors were excluded from the prediction model so it would measure patient-related drivers rather than hospital-related drivers. — Promising solution for standardised length of hospital stay based on time-to-event models and contemporary Australian administrative data
• Model coefficients from the development cohort were used to predict LOS in the validation cohort. — Promising solution for standardised length of hospital stay based on time-to-event models and contemporary Australian administrative data
• The survival analysis approach avoids the black-box problem associated with machine-learning approaches. — Promising solution for standardised length of hospital stay based on time-to-event models and contemporary Australian administrative data