A modified two-stage method for combining the aggregate-data and individual-patient-data in meta-analysis
The objective of this study is to ascertain the efficacy of the existing two-stage method for combining the Aggregate Data (AD) and Individual Patient Data (IPD) studies in meta-analysis and to introduce some modifications to the existing two-stage method for combining the these studies. We evaluat...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Asian Network for Scientific Information
2015
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/45254/ http://irep.iium.edu.my/45254/ http://irep.iium.edu.my/45254/ http://irep.iium.edu.my/45254/1/Published_paper.pdf |
| Summary: | The objective of this study is to ascertain the efficacy of the existing two-stage method for combining the Aggregate Data (AD) and Individual Patient Data (IPD)
studies in meta-analysis and to introduce some modifications to the existing two-stage method for combining the these studies. We evaluated the effects of these modifications on the estimates of the overall treatment effect and investigated the
influence of the number of studies included in the meta-analysis, N and the ratio of
AD: IPD on these estimates. We used Percentage Relative Bias (PRB), Root Mean
Square Error (RMSE) and coverage probability to assess the overall efficiency of
these estimates. The results revealed that the current method for combining the
AD:IPD studies exhibit rather poor coverage probability. We showed that the
proposed methods had been able to improve the coverage probability by more than
40%, while maintaining the level of bias at par to their existing counterparts. These
findings demonstrated the significance of proper technique for combining these
studies in order to obtain better overall estimates, which is crucial for reliable
overall conclusions.
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