meta.shrinkage: An R Package for Meta-Analyses for Simultaneously Estimating Individual Means
meta.shrinkage: An R Package for Meta-Analyses for Simultaneously Estimating Individual Means
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DOI：
10.3390/a15010026
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发表时间：
2022-01
期刊：
影响因子：
2.3
通讯作者：
Nanami Taketomi;H. Michimae;Yuan-Tsung Chang;T. Emura
中科院分区：
文献类型：
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作者：
Nanami Taketomi;H. Michimae;Yuan-Tsung Chang;T. Emura
荟萃分析是一个不可或缺的工具，用于综合从个体研究中获得的统计结果。最近，非贝叶斯估计的个人均值提出了三种方法：詹姆斯-斯坦（JS）收缩估计，保序回归估计和预检验（PT）估计。为了使这些方法提供给用户，我们开发了一个新的R包meta. shrinkage。我们的软件包可以计算七个估计量（JS，JS+，RML，RJS，RJS+，PT和GPT）。我们介绍了这个R包沿着使用的R函数和“平均最小最大”的步骤池相邻的违规者算法。我们进行蒙特卡罗模拟来验证建议的R包，以确保该包可以正常工作在各种情况下。我们还分析了一个数据示例来展示R包的能力。
Meta-analysis is an indispensable tool for synthesizing statistical results obtained from individual studies. Recently, non-Bayesian estimators for individual means were proposed by applying three methods: the James–Stein (JS) shrinkage estimator, isotonic regression estimator, and pretest (PT) estimator. In order to make these methods available to users, we develop a new R package meta.shrinkage. Our package can compute seven estimators (named JS, JS+, RML, RJS, RJS+, PT, and GPT). We introduce this R package along with the usage of the R functions and the “average-min-max” steps for the pool-adjacent violators algorithm. We conduct Monte Carlo simulations to validate the proposed R package to ensure that the package can work properly in a variety of scenarios. We also analyze a data example to show the ability of the R package.