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Development of Statistical Software for the Korean Laboratory Accreditation Program Using R Language: LaboStats

2019; Seoul National University; Volume: 39; Issue: 6 Linguagem: Inglês

10.3343/alm.2019.39.6.552

2234-3814

Yeongsic Kim, Haeil Park, Hae Kyung Lee, Hyun Su Nam, Yong-Wha Lee, Sang‐Guk Lee, Younhee Park, Woochang Lee, Myung‐Hyun Nam, Sang Hoon Song, Jae‐Woo Chung, Jehoon Lee,

Meta-analysis and systematic reviews

In Korea, the Korean Laboratory Accreditation Program (KLAP) has set minimum standards for verification of clinical test performance. This verification process is time-consuming and labor-intensive when performed manually. We developed a free, statistical software program for KLAP, using the R language (R Foundation for Statistical Computing, Vienna, Austria).We used CLSI guidelines for the algorithm. We built graphic user interfaces, including data input, with Embarcadero Delphi EX4 (Embarcadero Technologies, Inc., Texas, USA). The R Base Package and MCR Package for Method Comparison Regression were used to implement statistical and graphical procedures.Our program LaboStats has six modules: parallel test, linearity, method comparison, precision, reference interval, and cutoff. Data can be entered into the field either manually or by copying and pasting from an MS Excel worksheet. Users can print out precise reports.LaboStats can be useful for evaluating clinical test performance characteristics and preparing documents requested by KLAP.