MedCalc

Last updated
MedCalc
Developer(s) MedCalc Software
Stable release
22.001 / May 12, 2023;2 years ago (2023-05-12) [1]
Operating system Windows
Type Statistical analysis
License proprietary
Website www.medcalc.org

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, ...).

Contents

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.

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)


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