机译:健壮的Gamma回归模型可用于分析医疗保健费用数据
Department of Statistics and Applied Maths 'Diego de Castro', University of Turin, Turin, Italy,Department of Public Health and Microbiology, University of Turin, Turin, Italy;
Department of Public Health and Microbiology, University of Turin, Turin, Italy,Cardiovascular Department, Azienda Ospedaliero-Universitaria 'Ospedali Riuniti', Trieste, Italy;
Institute of Health Economics and Management, University of Lausanne, Lausanne, Switzerland;
Unit of Cancer Epidemiology, University of Turin, CERMS and CPO-Piemonte, Turin, Italy;
Department of Public Health and Microbiology, University of Turin, Turin, Italy,Department of Public Health and Microbiology, Via Santena 5bis, 10126 Torino, Italy;
Unit of Cancer Epidemiology, University of Turin, CERMS and CPO-Piemonte, Turin, Italy;
Institute of Social and Preventive Medicine, University of Lausanne, Lausanne, Switzerland;
cost regression analysis; asymmetric distributions; outliers; parametric models; robust statistics;
机译:使用边缘化的两部分随机效应广义伽马模型估算医疗支出面板数据分析中的边际和增量效应:来自中国医疗保健成本数据的证据
机译:多种慢性疾病对医疗保健费用的影响:基于高级树型回归模型的分析
机译:用尖峰分析调查数据的两部分模型和分位数回归。 与医疗保健满意度的例子
机译:用公开医疗数据构建医疗费用的预测模型
机译:商业保险人群中转移性卵巢癌的直接医疗费用:回顾性数据库分析
机译:多种慢性病对医疗保健费用的影响:基于高级树型回归模型的分析
机译:PRM46使用传统和零膨胀伽玛回归模型对包含大部分$ 0数据的医疗保健成本进行分析