# Simple-Bayesian-MetaAnalysis
After a brief introduction to meta-analysis, four different simple Bayesian hierarchical models are implemented to quantify the impact of climate change on wheat yields and analyze the uncertainty.
The models are compared using standard statistical criteria. The robustness of the conclusion to the model assumptions is assessed.
The dataset used here is from:
Zhao, C., Piao, S., Huang, Y. et al. Field warming experiments shed light on the wheat yield response to temperature in China. Nat Commun 7, 13530 (2016).
https://doi.org/10.1038/ncomms13530
R语言meta分析-贝叶斯分层模型来评估气候变化对小麦产量的影响.zip
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