Medcalc 22.0.30 Multilingual
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By artae
File size: 60.2 MB
Statistical software for biomedical research with a rich set of functions, graph types and an advanced module for perfog 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 perfog Receiver Operating Characteristic curve analysis, data plotting, Bablok and Dg 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 detee 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.
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(Buy premium account for maximum speed and resuming ability)
https://nitroflare.com/view/A7C77B5383BDBD2/r65lw.MedCalc.20.0.27.Multilingual.rar
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By artae
File size: 60 MB
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.
What's New
https://www.medcalc.org/history.php
HomePage:
https://www.medcalc.org
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https://nitroflare.com/view/AAB2F4E76FCC48D/z834l.MedCalc.20.0.23.Multilingual.rar
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By artae
MedCalc 20.0.14 Multilingual
File size: 60.5 MB
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.
DOWNLOAD
(Buy premium account for maximum speed and resuming ability)
https://nitroflare.com/view/7A70ED04AFCD950/pjzqu.MedCalc.20.0.14.Multilingual.rar
https://rapidgator.net/file/0b93ba88468d5ae02937a1d9dbafde4d/pjzqu.MedCalc.20.0.14.Multilingual.rar
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By artae
MedCalc 20.0.11 Multilingual
60.5 Mb
MedCalc is a complete statistical program for Windows designed to closely match the requirements of biomedical researchers. It is fast, user-friendly and reliable. MedCalc is the most user-friendly software for Receiver Operating Characteristic curve (ROC curves) analysis. The MedCalc ROC module includes comparison of up to 6 ROC curves. The software also includes Bland & Altman Description, Passing and Bablok and Deming regression for method comparison studies.
MedCalc for Windows description
Data management
Integrated spreadsheet with 1 048 576 rows and 16 384 columns.
Correct handling of missing data.
Outliers can easily be excluded.
Built-in WYSIWYG text editor.
Imports Excel, Excel 2007, SPSS, DBase and Lotus files, and files in SYLK, DIF or plain text format.
Easy selection of subgroups for statistical analysis.
MedCalc Documentation
Comprehensive help file.
Manual in PDF format (go to download area).
Complete HTML manual on MedCalc web site.
Context help in dialog boxes.
Statistical features
See list of statistical procedures.
ROC curve analysis
MedCalc is the reference software for ROC curve analysis. Our ROC curve analysis module includes:
Area under the curve (AUC) with standard error, 95% confidence interval, P-value. Offers choice between methodology of DeLong et al. (1988) and Hanley & McNeil (1982, 1983).
List of sensitivity, specificity, likelihood ratios, and positive and negative predictive values for all possible threshold values.
ROC curve graph with 95% Confidence Bounds.
Threshold values can be selected in an interactive dot diagram with automatic calculation of corresponding sensitivity and specificity.
Description of sensitivity and specificity, or cost, versus criterion values.
Description of predictive values versus prevalence.
Interval likelihood ratios.
Comparison of up to 6 ROC curves: difference between the areas under the ROC curves, with standard error, 95% confidence interval and P-value.
Sample size calculation for area under ROC curve and comparison of ROC curves.
Go to the ROC curve analysis section of the MedCalc manual for more information on ROC curve analysis in MedCalc.
Graphs
Lots of graphs, see Graph gallery.
Data point identification in graphs.
Draw text boxes, lines, arrows and connectors.
Name, save and recall graphs and statistics.
Statistical info in graph windows.
Save graphs as BMP, PNG, GIF, PCX, JPG or TIF files, or as PowerPoint slides (*.pptx).
System requirements
PC with Windows XP (with Service Pack 3), Windows Vista, Windows 7, 8, 8.1 or 10; or Windows Server 2003, 2008, 2012 and 2016.
On Windows versions prior to Windows 8 or Windows Server 2012, support for Excel *.xlsx files additionally requires Microsoft .NET Framework 4.0 (a free Microsoft).
1024 Mb of memory.
60 Mb free space on the hard disk.
Language:Multilingual
DOWNLOAD
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https://nitroflare.com/view/D5EDEE5209ABB33/fsxiz.MedCalc.20.0.11.Multilingual.rar
https://rapidgator.net/file/96b128a2b311e8073a5142aad54a757b/fsxiz.MedCalc.20.0.11.Multilingual.rar
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