xyz資訊工坊

xyz 軟體補給站

  商品編號: DVDXX14210
  商品名稱: MedCalc 19.0.2 Multilingual 門為醫學工作者設計的醫學計算器
  語系版本:
  運行平台:
  更新日期:
  光碟片數: 1片
  銷售價格: $100元
  熱門標籤:
您可能感興趣:
您可能也喜歡:
DVDXX16091--CAMWorks 2019 SP3.0 一款基於直觀的實體模型的CAM軟件
DVDXX16105--WinAutomation Professional Plus 9.0.0.5481 一款專業實用的電腦自動操作軟件
DVDXX16107--Thea For Cinema 4D v2.1.457.1847 x64 GPU物理實時渲染器插件
DVDXX16109--Photo Light Pro – After Effects Pack Win/Mac 只需單擊一下,即可創建動畫圖形或顏色等級,輕鬆改善和增強您的視頻
DVDXX16127--3D Video Converter 4.5.4 3D視頻轉換器
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。

Statistical software for biomedical research with a rich set of functions, graph types and an advanced module for performing ROC graph analysis. MedCalc is designed to meet the requirements of biomedical researchers with respect to the statistical analysis of large datasets. It provides the necessary tools and features for performing Receiver Operating Characteristic curve analysis, data plotting, Bablok and Deming regression and more.

With an integrated spreadsheet with over 100,000 rows, MedCalc is capable of reading and displaying detailed data imported from Excel, SPSS, Dbase, Lotus or extracted from SYLK, DIF or text files. The information can be easily sorted, filtered or edited.

The built-in data browser offers a comfortable means of easily managing data, variables, notes, texts and graphs, while the array of supported graphs and diagrams (scatter plots, method comparison graphs, graphs for subgroups or for up to 24 continuous variables, survival curves, serial measurement, standardized mean plots and many more) make it perfect for analyzing trends and comparing information.

One of the most important features of MedCalc is related to its ROC curve analysis capabilities. It can generate the ROC curve graph with 95% confidence bounds, calculate specificity, sensitivity, predictive values for all the thresholds, likelihood ratios, generate conclusive plots and determine the size of an area under the ROC graph. Up to 6 ROC curves can be compared, calculating the differences between the areas, the standard errors, P-values and more.

MedCalc is capable of handling missing data, creating subgroups, calculating percentile ranks and power transformation. It features outlier detection, correlation and regression tools, Bland & Altman plotting, while also enabling you to run Anova, variance ratio, mean, propertion, Chi-Square, Fisher and T-tests.
A summary of the statistical report can be easily generated and data can be placed and viewed side-by-side thanks to the multiple comparison graphs function.
MedCalc requires at least basic statistics knowledge in order to get the most out of its potential. Its extensive array of features make it a must-have tool for running method comparison studies and analyzing biomedical data.