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Inpatient length of stay: a finite mixture modeling analysis
Chungkham Holendro Singh1, Laishram Ladusingh
1Department of Statistics, North-Eastern Hill University, Umshing, Mawkynroh, Shillong, 793022, Meghalaya, India. holendrosingh@gmail.com
Abstract:
Length of stay (LOS) in hospital for inpatient treatment is a measure of crucial recovery time. Using nationwide data on inpatient healthcare in India, a three-component finite mixture negative binomial model was found to provide a reasonable fit to the heterogeneous LOS distribution. Associated risk factors for short-stay, medium-stay and long-stay subgroups were identified from the respective negative binomial components. In addition, significant heterogeneities within each group were also found.
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