JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES)

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Application of a multilevel model in longitudinal data

WANG Yan-mei1，WANG Jie-zhen1，DING Shou-luan1，XUE Fu-zhong1，SUN Xiu-bin1，WANG Qi-wen1，XU Ling-zhong2   

  1. 1.Institute of Epidemiology and Biostatistics；2.Institute of Social Medicine and Health Administration, School of Public Health, Shandong University
  • Received:2006-10-23 Revised:1900-01-01 Online:2007-07-24 Published:2007-07-24
  • Contact: WANG Jie-zhen

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Abstract: Objective: To explore the applicability of a multilevel model in longitudinal data. Methods: The income of 45 hospitals with different grades for 8 years in Shandong and Henan Provinces was assessed by a multilevel model. Results: The multilevel model showed that differences of the hospital professional income and velocity and acceleration of increase were not significant between the two provinces, but they were significant in various grades. Conclusion: Multilevel models can efficiently analyze longitudinal data with hierarchical structure and missing data.

Key words: Multilevel model, Longitudinal research, Hospital, Professional income

CLC Number: 

  • R195.1
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