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MedCalc

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MedCalc
Screenshot of MedCalc statistical software
Developer(s)MedCalc Software
Stable release22.001 / May 12, 2023; 19 months ago (2023-05-12)
Operating systemWindows
TypeStatistical analysis
Licenseproprietary
Websitewww.medcalc.org

MedCalc is a statistical software package designed for the biomedical sciences. 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, χ test, correlation, linear as well as non-linear regression, logistic regression, and multivariate statistics.

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

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

The software also includes reference interval estimation, 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.

Reviews

See also

References

  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; Zhicheng, Du (2018). MedCalc Statistical Analysis Methodology and Application/Statistical Analysis Series Paperback (Chinese ed.). Beijing: Publishing House of Electronics Industry. 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)

External links

Statistical software
Public domain
Open-source
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Windows only
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