Best 13 Medical Statistics Analysis Software

There are many statistical software packages available today of which good number of them have the capabilities of running medical research data analysis.

The recent widespread use of computer software has  a tremendous impact on medical research. Computer has reduced the  need for laborious hand calculations. Computer can perform more calculations faster — and far more accurately — than humans. Through the efficient use of computers, medical researchers, biologists, anatomist, biostatisticians  can now devote more time to improving the quality of raw data during experiments in the laboratories, surveys or records, and interpreting the results. 

Medical research data analysis merit special attention as they deal with human lives and not with material objects or lower animals. Medical research data are usually gathered through experiments, surveys or records.

Read also: Top 13 Computational Statistics Software (Learn How to Use Them)

Top 13 Statistical Software Used for Medical Research

  1. SPSS
  2. Minitab
  3. SAS
  4. InvivoStat
  5. WinIDAMS
  6. GraghPad Prism
  7. Statistica
  8. R
  9. Develve
  10. JMP
  11. Stata
  12. Excel
  13. MATLAB 


SPSS

Alt: = "IBM SPSS"

SPSS stands for Statistical Package for Social Science. SPSS, a product of IBM, is a comprehensive software tool for statistical computing and analysis. It has the capability of performing of statistical data analysis task with an easy-to-use graphical user interface. SPSS is best suited for analysis of variance (ANOVA) and analysis of covariance (ANCOVA), and to use it, you need to have good understanding of statistics.

Minitab

Minitab Statistical Software is used for different statistical data analysis starting from basic statistics to professional statistics. It has capablities of running decriptive statistics, regression, analysis of variance, analysis of covariance, time series analysis, etc. It is used in predictive mark trend analysis, experimental and medical research data analysis. It uses graphic user interface that makes it easy to be used by even novice.

SAS

Statistical Analysis Software (SAS) is a very good medical data analysis software in can find out there. Funded by National Institute of Health, the software was developed by Anthony Bar of Carolina University and James Goodnight to aid health and agricultural research.

InvivoStat

It is a powerful tool in animal experiment as it does not require large sample sizes. It allows the scientist to get better understanding of the analysis processes and help make informed decision and to design efficient studies in the future. The beauty is that, it's a free-to-use software

WinlDAMS

Is a statistical analysis software developed for numerical information processing and statistical data analysis. It is basically used for research and development (R&D) project, health service research (HSR), demographic studies, biostatistics. It provides data manipulation and validation facilities for classical and advanced statistical techniques such as regression and correlation analysis, one-way ANOVA, time series analysis, table building including interactive construction of multidimensional tables, graphical exploration of data set like 3D scattergram spinning, and large number REmultivariate.

GraphPad Prism

This software is has capabilities that to run t-test, ANAOVA. It is unique from other statistical software in way that it comes with an interpreted result analysis page after the output results. GraphPad Prism also has default feature that combines the analysis and the graphical results in one snapshot, without having to do each separately and to prevent alterations in the data. It is mostly used by biologists, and it helps in performing laboratory research and clinical trial test using the t-test, one-way ANOVA, logic regression model, survival analysis, contingency table, life expectancy table.

Statistica

Statistica is a suite of analytical software tool with data management, analysis visualization, data mining and machine learning. It enables R programming environment integration which provides additional analytical techniques.

Originally developed by StatSoft, but now owned by TIBCO, Statistica  as data science Benchwork offers 

capabilities to integrate data files from other tools like Excel,IBM SPSS, JMP, Stata files thereby allowing for import and export of data from other tools without copying manually.

R

R is an open source statistical software that has the capabilities of handling data analysis and visualization, and heavy computing. It is programming command line interface (CLI). It has many packages integration which are used for medical researches especially in the areas epidemiology, molecular biology, biostatistics, meta-analyses. R-studio integrated Development Environment (IDE) that contains R tools works the same way Oracle Data Base Engine that uses SQL works. R statistical software tools is relatively new, as it first version was released in 1993 and the version with IDE released in 2011. R is compatible with some other statistical software that uses spreadsheet like Excel, Stars, SAS.

Develve

Develve is a statistical software that provides a technical environment for fast and easy analysis and interpretation of experimental data in science and research and development (R&D). It is suitable for Experimental Design, Normality Testing, Sample Size calculations, Reliability Research, Gauge R&R. Use of Develve software helps researchers especially medical and agric researchers to make accurate decisions rather than making false assumptions. It is easy to be used by students as well as professional. It has both free and paid versions.

JMP

JMP which stands for Jonh’s Macintosh Program is a statistical software for insight-driven improvement. Is veritable tool for trial test analysis to know what works and what doesn’t in areas of Chemistry, Pharmaceuticals and Biotechnology. Its also applicable in business analysis and insight, design of experiments in biology and agriculture. JMP software combines interactive visualization with powerful statistics, predictive modeling and machine learning

John's Macintosh Program has five products suitable for different industries: JMP, JMP Pro, JMP Clinical, JMP Genomics and JMP Graph Builder App.

JMP allows the use of R and Excel ad-ins, it also offers capabilities to integrate data files from other tools like SAS, SPSS Stats etc. 

MATLAB

MATLAB, also known as the Mathworks is a complete command line interface (CLI) for mathematical and  statistical computational. It is widely applied in science and engineering fields MATLAB is a programming language that requires you to create your own code at some point as in R. It contains many toolsboxes that are useful in research questions such as EEGLab for analysing EEG data).

MATLAB can easily be integrated with high-end programming languages such Python and C++. It is also compatible with data analysis software tools files like Excel, SPSS, XML for easy import and export of data files.

Related article: Top Statistical Software for Agricultural Research

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