MedCalc 19.0.2 Multilingual  門為醫學工作者設計的醫學計算器
MedCalc是一個專門為醫學工作者設計的醫學計算器，功能齊全。它可以幫助醫生快速作出普通的醫學計算，從而對症下藥。提供超過76種常用的規則和方法，包括：病人數據、單位參數、費用計算等等。

Statisticalsoftwareforbiomedicalresearchwitharichsetoffunctions,graphtypesandanadvancedmoduleforperformingROCgraphanalysis.MedCalcisdesignedtomeettherequirementsofbiomedicalresearcherswithrespecttothestatisticalanalysisoflargedatasets.ItprovidesthenecessarytoolsandfeaturesforperformingReceiverOperatingCharacteristiccurveanalysis,dataplotting,BablokandDemingregressionandmore.

Withanintegratedspreadsheetwithover100,000rows,MedCalciscapableofreadinganddisplayingdetaileddataimportedfromExcel,SPSS,Dbase,LotusorextractedfromSYLK,DIFortextfiles.Theinformationcanbeeasilysorted,filteredoredited.

Thebuilt-indatabrowseroffersacomfortablemeansofeasilymanagingdata,variables,notes,textsandgraphs,whilethearrayofsupportedgraphsanddiagrams(scatterplots,methodcomparisongraphs,graphsforsubgroupsorforupto24continuousvariables,survivalcurves,serialmeasurement,standardizedmeanplotsandmanymore)makeitperfectforanalyzingtrendsandcomparinginformation.

OneofthemostimportantfeaturesofMedCalcisrelatedtoitsROCcurveanalysiscapabilities.ItcangeneratetheROCcurvegraphwith95%confidencebounds,calculatespecificity,sensitivity,predictivevaluesforallthethresholds,likelihoodratios,generateconclusiveplotsanddeterminethesizeofanareaundertheROCgraph.Upto6ROCcurvescanbecompared,calculatingthedifferencesbetweentheareas,thestandarderrors,P-valuesandmore.

MedCalciscapableofhandlingmissingdata,creatingsubgroups,calculatingpercentileranksandpowertransformation.Itfeaturesoutlierdetection,correlationandregressiontools,Bland&Altmanplotting,whilealsoenablingyoutorunAnova,varianceratio,mean,propertion,Chi-Square,FisherandT-tests.
Asummaryofthestatisticalreportcanbeeasilygeneratedanddatacanbeplacedandviewedside-by-sidethankstothemultiplecomparisongraphsfunction.
MedCalcrequiresatleastbasicstatisticsknowledgeinordertogetthemostoutofitspotential.Itsextensivearrayoffeaturesmakeitamust-havetoolforrunningmethodcomparisonstudiesandanalyzingbiomedicaldata.