title: [Mixed logit model and its application in insurance choices of the new rural cooperative medical system].
abstract: OBJECTIVE
  To apply mixed logit model for analyzing the data of new rural cooperative medical with suitability and identify the factors affecting the residents choices of insurance mode.
  
  
  METHODS
  Hypothesis test of IIA was performed using the mogtest module of Stata10.0 to test the eligibility of the condition. The mixed logit model was established to allow the parameters to vary in the population using SAS9.1 MDC module.
  
  
  RESULTS
  The data in this study did not satisfy the IIA assumption (P<0.01), so that the multinomial logit model was not applicable. The adjusted Estrella of the mixed logit model was 0.6658.
  
  
  CONCLUSIONS
  The mixed logit approach does not rely on the restrictive IIA assumption and allows for correlation patterns between choices and individual variation. This approach can help in the determination of the choices in new rural cooperative medical system.
authors.affiliation: Institute of Preventive Medicine, School of Medicine, Ningbo University, Ningbo 315211, China. jjiawweinna@yahoo.com.cn
authors.forename: Wei-Na
authors.initials: WN
authors.lastname: Jia
authors.forename: Jin-Jin
authors.initials: JJ
authors.lastname: Wang
authors.forename: Qi-Jun
authors.initials: QJ
authors.lastname: Shen
authors.forename: Ming
authors.initials: M
authors.lastname: Chen
authors.forename: Yan-Chao
authors.initials: YC
authors.lastname: Zhang
authors.forename: Sheng-Jun
authors.initials: SJ
authors.lastname: Zhu
mesh_terms: D006265:Health Care Coalitions / Q000706:statistics & numerical data*; D007348:Insurance, Health; D016015:Logistic Models; D012423:Rural Health; D019035:Rural Health Services / Q000706:statistics & numerical data*