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Statistical Models of Economic Burden: A Case Study in Medicine

Lakman I.A., Maksimenko Z.V., Shangareeva R.Kh. and Gindullin R.V.

International Journal of Economics & Business Administration (IJEBA), 2019, vol. VII, issue Special 2, 63-73

Abstract: Purpose: The main aim of this article is to use statistical methods for the estimation of the economic burden and the survival rate of deeply premature babies. Design/Methodology/Approach: The results of a survey of 2.222 children with a birth weight of 501-1500 grams and a gestational age of 23-37 weeks were used as input data. Cox’s proportional hazards model was used as a survival tool. Findings: The results of Cox survival regression model showed a series of statistically significant predictors of survivability (p

Keywords: Premature newborns; very low birth weight; extremely low birth weight; survival analysis; risk. (search for similar items in EconPapers)
JEL-codes: C01 C21 F43 F62 F63 O47 (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:ers:ijebaa:v:vii:y:2019:i:special2:p:63-73

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