Statistical tools used in medical research

In medical research, there is a massive universe of statistical techniques. The variations between these programmes are in their simplicity of use and presentation, as well as differences in licence (proprietary or not), interface (point and click or command line), and cost (free or paid). These programmes take care of the whole process of gathering, organizing, analyzing, and interpreting statistical data. Let’s look at the top ten statistical tools that scientists, clinicians, and industry R&D experts utilize in medical research.

  1. Stata

Stata is a comprehensive toolset that includes data management, data analysis, and a user-friendly graphical interface. Stata is a policy statistics programme used by organizations such as the United Nations, governments, and academicians for public health.

2. R

R is an open-source statistical software tool that can handle visualization, analysis, and parts of machine learning ‘heavy computing, and it is strictly a programming ‘command-line interface (CLI) software tool.

3. GraphPad Prism

Academic and industrial biologists widely use GraphPad Prism. It also has features that allow researchers to use the t-test, one-way ANOVA, contingency table, survival analysis, and probability models like the logistic regression model to conduct laboratory research and clinical trial tests.

4. SAS

SAS is the foundation of advanced analytics, with features that span many scientific and technical businesses and organizations.

  • IBM SPSS

The first version of SPSS was created in 1968 and was acquired by IBM in 2009. IBM SPSS is a very comprehensive programme that is used by virtually all disciplines and professionals.

  • MATLAB

In 1984, The Mathworks published MATLAB. Scientists and engineers utilize MATLAB as a comprehensive command-line interface (CLI) or programming language.

  • JMP

JMP, which runs in memory and on the desktop, combines sophisticated statistics with dynamic visuals. JMP’s interactive and visual approach allows it to disclose insights that are hard to obtain from static graphs or raw tables of numbers.

  • Minitab

Minitab was created in 1972 from OMNITAB 80, a lite version, and includes a range of both simple and rather complex statistical techniques for data analysis.

  1. Statistica

Statistica is an analytic software package developed by StatSoft and purchased by Dell in 2014, with TIBCO signing a purchase agreement in 2017.

  • Excel

Microsoft Office Excel was designed with data management in mind. According to the dataset used for this assessment, Microsoft Corp Excel is extensively used in statistical analysis without needing an introduction.

References

Armitage, Peter, Geoffrey Berry, and John Nigel Scott Matthews. Statistical methods in medical research. John Wiley & Sons, 2008.