Improving pharmacometrics analysis efficiency using DataCheQC: An interactive, Shiny-based app for quality control of pharmacometrics datasets

被引:0
|
作者
Dotan, Or [1 ,4 ]
Radivojevic, Andrijana [2 ]
Singh, Rajendra [3 ]
机构
[1] Teva Pharmaceut Ind, Netanya, Israel
[2] intiGROWTH LLC, Miami, FL USA
[3] Teva Pharmaceut Ind, W Chester, PA USA
[4] Teva Pharmaceut Ind, 12 HaTrufah St, Netanya, Israel
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D O I
10.1002/psp4.13017
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
DataCheQC is an interactive application based on the R Shiny framework developed for the purposes of performing quality control (QC) checks on pharmacometric datasets, and thereby supporting the implementation of model-informed drug development. Features include visual inspection of variables and data entries for errors and/or anomalies, and ensuring structural integrity through comparison with a dataset specification file. The app, which requires no programming knowledge to operate, allows the user to collect all findings into a summary report downloadable directly from the app itself. The source code for the app is freely available on GitHub under an open-source license (https://github.com/ Dotan Or/DataCheQC) and can also be accessed online (https://dotanor.shiny apps.io/DataCheQC/).
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页码:1375 / 1385
页数:11
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