JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES)

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A multivariate and multilevel model in longitudinal data

WANG Qi-wen1,WANG Jie-zhen1,XUE Fu-zhong1,WANG Yan-mei1,XU Ling-zhong2   

  1. 1.Institute of Epidemiology and Biostatistics;2.Insitute of Social Medicine and Health Administration, School of Public Health, Shandong University, Jinan 250012, Shandong, China
  • Received:2006-12-06 Revised:1900-01-01 Online:2007-04-24 Published:2007-04-24
  • Contact: WANG Jie-zhen

Abstract: Objective: To explore the applicability of a multivariate and multilevel model in a longitudinal research with several dependent variables. Methods: Influences of the independent variables (year, area and grade) on the two dependent variables (the total value of instruments and equipments in hospital and the operation income) and the relationship between the two dependent variables were assessed by the model. Results: Independent variables of year and hospital level, rather than area were associated with the increase of the two dependent variables. The two dependent variables positively correlated with each other. Conclusion: Multivariate and multilevel models can effectively analyze longitudinal data with several dependent variables.

Key words: Multivariate multilevel model, Longitudinal research, Hospital, Total value of instruments and equipments, Professional income

CLC Number: 

  • R195.1
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