R包
脆弱性
计算机科学
索引(排版)
数据挖掘
逻辑回归
机器学习
程序设计语言
物理化学
化学
作者
Kipp W. Johnson,Eli Rappaport,Khader Shameer,Benjamin S. Glicksberg,Joel T. Dudley
摘要
Abstract Poor reproducibility is a growing crisis in biomedical research. The fragility index was introduced as a convenient measure to estimate how fragile statistical results in clinical trials are to small perturbations in event outcome counts. There is currently no freely available R package to produce this calculation. Furthermore, the original definition of the method is applicable only to 2x2 contingency tables. As such, we developed an R package to calculate fragility index. We have also extended the concept of a statistical fragility index to two of the most commonly used methods in clinical research, survival analysis via weighted log-rank tests and logistic regression, and implemented these technique sin this R package. We describe example applications of these methods to existing publically available datasets. This R package is freely available under the AGPL license on CRAN ( https://cran.r-project.org/web/packages/fragilityindex/index.html ). The most recent versions may be downloaded and installed via Github ( https://github.com/kippjohnson/fragilityindex ).
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