• 1. The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, P.R.China;
  • 2. Affiliated People’s Hospital of Quanzhou Medical College , Quanzhou, 362000, P.R.China;
HUANG Bifen, Email: 18060108268@180.cn
Export PDF Favorites Scan Get Citation

Longitudinal data had intrinsic correlation problems at different time points, and traditional meta-analysis techniques cannot resolve this problem. Regression coefficients based on multi-level models can fully consider the correlations of longitudinal data at various time points. This paper uses SAS software to perform multi-level regression coefficient model meta-analysis and provides programming code which is simple and easy to operate.

Citation: XIAO Lihua, ZHENG Jianqing, HUANG Bifen, SU Jingjing, WU Min. Using SAS program to frame meta-analysis of longitudinal data based on multi-level model. Chinese Journal of Evidence-Based Medicine, 2019, 19(5): 614-621. doi: 10.7507/1672-2531.201810044 Copy

Copyright © the editorial department of Chinese Journal of Evidence-Based Medicine of West China Medical Publisher. All rights reserved

  • Previous Article

    Using Delphi method to build core items of database for traumatic brain injury in rehabilitation medical database RENLing HE Jing
  • Next Article

    The research status and progress of core outcome sets based on COMET database QIURuijin CHEN Shiqi HAN Songjie HE Tianmai HUANG Ya LI Min HU Jiayuan SUN Yang CHEN Jing SHANG Hongcai