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Screenshot of MedCalc statistical software
Developer(s)MedCalc Software
Stable release
19.3 / May 24, 2020; 23 months ago (2020-05-24)[1]
Operating systemWindows
TypeStatistical analysis

MedCalc is a statistical software package designed for the biomedical sciences.[2][3][4] It has an integrated spreadsheet for data input and can import files in several formats (Excel, SPSS, CSV, ...).

MedCalc includes basic parametric and non-parametric statistical procedures and graphs such as descriptive statistics, ANOVA, Mann–Whitney test, Wilcoxon test, χ2 test, correlation, linear as well as non-linear regression, logistic regression, and multivariate statistics.[5]

Survival analysis includes Cox regression (Proportional hazards model) and Kaplan–Meier survival analysis.

Procedures for method evaluation and method comparison include ROC curve analysis,[6] Bland–Altman plot,[7] as well as Deming and Passing–Bablok regression.[8]

The software also includes reference interval estimation,[9] meta-analysis and sample size calculations.

The first DOS version of MedCalc was released in April 1993 and the first version for Windows was available in November 1996.

Version 15.2 introduced a user-interface in English, Chinese (simplified and traditional), French, German, Italian, Japanese, Korean, Polish, Portuguese (Brazilian), Russian and Spanish.


See also


  1. ^ "MedCalc update history page lists additions, improvements and changes in the software".
  2. ^ Chun, Jin-Ho (2014). DR Chun's 'Edge' Health·Medical Statistics, 2 LEAD or 2 be leaded?. Seoul: Panmun Education. ISBN 979-11-85305-57-8.
  3. ^ Zhihui, Li (2018). MedCalc Statistical Analysis Methodology and Application/Statistical Analysis Series Paperback (Chinese ed.). Seoul: Electronic Industry Press. ISBN 978-7121338694.
  4. ^ Eunsil Choi, Jiyoung Lyu, Jinyoung Park, Hae-Young Kim (2014). "Statistical methods used in articles published by the Journal of Periodontal and Implant Science". Journal of Periodontal & Implant Science. 44 (6): 288–292. doi:10.5051/jpis.2014.44.6.288. PMC 4284377. PMID 25568809.((cite journal)): CS1 maint: multiple names: authors list (link)
  5. ^ Sarma, K.V.S.; Vishnu Vardhan, Rudravaram (2018). Multivariate Statistics Made Simple: A Practical Approach. Boca Raton, FL: Chapman & Hall/CRC. ISBN 978-0-4298-7787-2.
  6. ^ Krzanowski, Wojtek J.; Hand, David J. (2009). ROC Curves for Continuous Data. Boca Raton, FL: Chapman & Hall/CRC. ISBN 978-1-4398-0021-8.
  7. ^ Hanneman SK (2008). "Design, analysis, and interpretation of method-comparison studies". AACN Advanced Critical Care. 19 (2): 223–234. doi:10.1097/01.AACN.0000318125.41512.a3. PMC 2944826. PMID 18560291.
  8. ^ Lidija Bilić-Zulle (2011). "Comparison of methods: Passing and Bablok regression". Biochemia Medica. 21 (1): 49–52. doi:10.11613/BM.2011.010. PMID 22141206.
  9. ^ Bosa Mirjanic-Azaric, Sanja Avram, Tanja Stojakovic-Jelisavac, Darja Stojanovic, Mira Petkovic, Natasa Bogavac-Stanojevic, Svetlana Ignjatovic, and Marina Stojanov (2017). "Direct Estimation of Reference Intervals for Thyroid Parameters in the Republic of Srpska". Journal of Medical Biochemistry. 36 (2): 137–144. doi:10.1515/jomb-2017-0008. PMC 5471646. PMID 28680357.((cite journal)): CS1 maint: multiple names: authors list (link)