Methods for synthesizing regression models: The case of education production functions

这项建议寻求开发和测试新的方法，用于荟萃分析和综合使用不同特性的多个回归模型的研究。目前的荟萃分析方法侧重于基于标准化平均差异、相关性和优势比等汇总统计数据合成效应大小。这一建议的智力价值在于开发了综合多项研究的多元回归结果的方法。这项研究中提出的方法建立在缺失数据的统计方法基础上。

This proposal seeks to develop and test new methods for meta-analysis and synthesis of research that uses multiple regression models of different specificity. Current methods for meta-analysis focus on the synthesis of effect sizes based on summary statistics such as standardized mean differences, correlations and odds ratios. The intellectual merit of this proposal is the development of methods for synthesizing the results of multiple regression across studies. The methods proposed in this study build on statistical methods for missing data.