Statistical models for the analysis of skewed healthcare cost data: a simulation study

被引：0
|
作者：
Amal Saki Malehi
Fatemeh Pourmotahari
Kambiz Ahmadi Angali
机构：
[1] School of Public Health,Department of Biostatistics and Epidemiology
[2] Ahvaz Jundishapur University of Medical Sciences,undefined
来源：
Health Economics Review | / 5卷
关键词：
Skewed data; Generalized linear models (GLMs); Cox proportional hazard regression; Ordinary least squares (OLS) model; Transformation; Healthcare cost; Monte Carlo simulation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Skewed data is the main issue in statistical models in healthcare costs. Data transformation is a conventional method to decrease skewness, but there are some disadvantages. Some recent studies have employed generalized linear models (GLMs) and Cox proportional hazard regression as alternative estimators.
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