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| Implementation of the multivariate meta-analysis of distributed lag non-linear model in R software |
| Chen Dongzhen1,2，Yin Jia1，Ding Guoyong1，Liu Zhidong3， Liu Xuena1，Lu Hua4，Li Xiaomei1 |
1 Shandong First Medical University (Shandong Academy of Medical Sciences), Tai'an 271016, China;
2 Liaocheng Center for Disease Control and Prevention, Liaocheng 252000, China;
3 Qilu Hospital of Shandong University, Jinan 250012, China;
4 Tai'an Center for Disease Control and Prevention, Tai'an 271001, China |
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Abstract Objective To implement the procedure of distributed lag non-linear model (DLNM) and multivariate meta-analysis in R software.Methods A specific step of two-stage analysis of DLNM and multivariate meta-analysis was carried out in R software through a time series data.Results The two-stage analysis of DLNM and multivariate meta-analysis was successfully implemented in R software.Conclusion R software can be used to construct DLNM and conduct multivariate meta-analysis flexibly and conveniently, and the method can be widely used in environmental epidemiology.
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Received: 08 February 2022
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