The biostatgv package is actively being developed and updated. Future versions of the package are expected to include additional features and functions, including:
From Kaplan-Meier curves to Bayesian inference, mastering the numbers is how we turn biological complexity into medical breakthroughs. biostatgv
R statistical software for its underlying computations. Its primary goal is to democratize statistical tools, making them accessible to both bioinformaticians and non-experts (such as clinicians and biologists) through simplified guides and concrete examples. MDPI +1 Key Features & Statistical Tools BiostaTGV provides a wide range of common statistical tests frequently cited in peer-reviewed medical and biological research: Sample Size Calculation: Used extensively in clinical trial protocols to determine the minimum number of participants required to achieve statistical power (e.g., 80% power at a 5% alpha level). Comparative Tests: Student's t-test: For comparing means between two groups. Wilcoxon–Mann–Whitney Test: A non-parametric alternative for comparing distributions when data is not normally distributed. Chi-square ( χ The biostatgv package is actively being developed and
Could you please clarify what you are referring to? For example: Its primary goal is to democratize statistical tools,