Top 10 Best Medical Research Data Analysis Software

Statistical Software for Medical Research

Statistical software for medical research is a software tool that offers capabilities for medical research data analysis. Scientists have developed many statistical software packages that provide the capabilities of executing medical research data analysis.

 Through the efficient use of these statistical software tools, medical researchers, biologists, anatomists, and biostatisticians can now focus more on improving the quality of raw data during experiments in laboratories, surveys, or records, and interpreting the results for effective decision-making. 

Medical research data analysis deserves special attention as it deals with human lives and not with material objects, businesses, or lower-animals. Medical research data are gathered through experiments, surveys, or records.

Top 10 Statistical Software Used for Medical Research

  • SPSS
  • PASS
  • SAS
  • InvivoStat
  • WinIDAMS
  • GraghPad Prism
  • Statistica
  • R
  • Develve
  • JMP


SPSS which means Statistical Package for Social Science, is a comprehensive software tool for statistical data analysis developed by IBM. It has the capability of performing statistical data analysis tasks with an easy-to-use graphical user interface. SPSS makes analysis of variance (ANOVA) and analysis of covariance (ANCOVA) very easy, and it is easy to use, although you need to have a good knowledge of statistics.


Power Analysis $ Sample Size is a product of NCSS Statistical Software specifically designed for medical research.

PASS data analysis software tool used for medical research offers capabilities for sample size analysis for more than 965 scenarios. It is used by thousands of medical researchers in the areas of the clinical trial, pharmaceutical research, biostatistical consulting, public health research, veterinary research, epidemiology, oncology, and more. Researchers rate PASS software as the pioneer sample size and power analysis tool for clinical trials, pharmaceuticals, and other areas of medical research, and indeed in all other fields where sample size calculations are handled. It has been in use for over 25 years.

PASS offers sample size calculations for Cluster-Randomized Designs, Cross-Over Designs, Group-Sequential Tests, Conditional Power, confidence Intervals, Non-Inferiority Tests, Mean Comparisons, Nonparametric Tests Equivalence, Normality Tests, Survival Analysis, Superiority Tests, Proportions Tests, Rates and Counts, Regression, and much more of other forms of medical sample data analysis.


SAS which means Statistical Analysis Software is the basis for most of the new statistical analysis software. National Institute of Health funded the development of this software to aid the agricultural data analysis for improved crop yield. The Software was programmed in 1966 by Anthony Bar of North Carolina State University, and James Goodnight  SAS analytics are applied in many fields such as  science ( health and agriculture ), engineering, social science (demographic studies), business and finance analysis. SAS has a very good interactive Graphic user interface, although the technicalities in SAS is too complex and there require adequate knowledge of statistics and computing. SAS is compatible with files from most of other statistical software such as SPSS file (.say), JMP (.jmp), Excel (.xls), ext files (.text, .dat, .csv). Data files can also be exported and imported out of or into SAS windows.


R is an open source statistical software that has the capabilities of handling data analysis and visualization, and heavy computing. As a programming command line interface (CLI), R offers capabilities for medical research data analysis, especially in epidemiology, molecular biology, biostatistics, and meta-analyses. R-studio Integrated Development Environment (IDE) that contains R tools works the same way Oracle Data Base Engine that uses SQL works. 


It is a statistical analysis software used for research and development (R&D) projects, health service research (HSR), demographic studies, and biostatistics data analysis. The tool offers data manipulation and validation features for classical and advanced statistical techniques like times series analysis, regression and correlation analysis, one-way ANOVA, table building including interactive construction of multidimensional tables, graphical exploration of data sets like 3D scattered diagram spinning, and large number REmultivariate.


JMP which stands for Jonh’s Macintosh Program is statistical software for insight-driven improvement. It is a suitable tool for trial test analysis in the areas of Chemistry, Pharmaceuticals and Biotechnology. It is also applicable in business intelligence analytics and insight, and experimental designs in biology and agriculture.

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

GraphPad Prism

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.


Develve is a statistical data analysis software that offers a technical environment for analysis and interpretation of experimental data in medical, and research and development (R&D). With Develve, you can easily carry out Experimental Design, Normality Testing, Sample Size calculations, Reliability Research, Gauge R&R. Use of Develve software helps researchers especially medical and agricultural researchers to make accurate decisions rather than making false assumptions. It has both free and paid versions and is very easy to use.


Developed by StatSoft, but now owned by TIBCO, Statistica as data science Benchwork offers capabilities for data management, analysis visualization, data mining, and machine learning. It enables R programming environment integration which provides additional analytical techniques, and integration of data files from other software suites such as Excel,IBM SPSS, JMP. Statistica files allow for the import and export of data from other tools without copying manually.


InvivoStat is a very good software tool for animal experiments. It does not require large sample sizes. allowing the researchers to get a better understanding of the analysis processes for effective decision making, and help designing future studies.

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