Pages that link to "Item:Q1410978"
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The following pages link to Modelling inpatient length of stay by a hierarchical mixture regression via the EM algorithm. (Q1410978):
Displaying 7 items.
- Modeling event times with multiple outcomes using the Wiener process with drift (Q702741) (← links)
- Finite mixture regression model with random effects: application to neonatal hospital length of stay (Q951795) (← links)
- Assessing the impact of managed-care on the distribution of length-of-stay using Bayesian hierarchical models (Q1570393) (← links)
- Evaluating readmission rates and discharge planning by analyzing the length-of-stay of patients (Q2329891) (← links)
- Two-component Poisson mixture regression modelling of count data with bivariate random effects (Q2473257) (← links)
- An Extended Mixture Distribution Survival Tree for Patient Pathway Prognostication (Q2862297) (← links)
- Length of stay as a performance indicator: robust statistical methodology (Q5427764) (← links)
