BioStat

BioStat is affordable and easy-to-use statistical analysis package dedicated to the needs of professionals working in the fields of medicine, biology, pharmacy and biochemistry. BioStat is based on the well-known StatPlus package and contains virtually all of its functionality, including ANOVA, regression and survival analysis. Thanks to familiar Excel-like look and feel and compatibility with major data formats one can benefit from a short learning curve.

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Spreadsheet

Data sets can be easily imported from numerous text formats, Microsoft* Excel* 97-2003 (XLS) and 2007-2013 (XLSX) workbooks, StatSoft* Statistica* and SPSS* Documents (up to v16). BioStat also includes chart engine (histograms, bars, areas, point-graphs, pies, statistical chartss) and 90 built-in worksheet functions (math, statistical, financial).

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Statistics

BioStat allows to perform various types of analysis - basic statistics and tables, ANOVA, regression analysis, non-parametric statistics, survival and power analysis. Analysis results are written into new worksheet and could be easily edited or exported.

View Statistical Features List

Looking For More?

StatPlus includes all the BioStat features and even more: design of experiment, time series analysis and forecasting, control charts for quality control. StatPlus comes as both standalone spreadsheet and Excel add-in, and works on Windows and Mac OS.

Learn more about StatPlus for Windows or  StatPlus:mac.

Free Trial

We have free trial that gives you an opportunity to evaluate the software before you purchase it. Should you have any questions during the trial period, please feel free to contact our Support Team.

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Affordable

You will benefit from the reduced learning curve and attractive pricing while enjoying the benefits of precise routines and calculations. License is permanent, there is no renewal charges.

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Requirements

BioStat requires Windows 2000 or newer, Windows 7 or newer recommended.

Screenshots

Statistical Features List

  • Basic Statistics
    • Detailed descriptive statistics.
    • Comparing means: t-Tests, Pagurova Criterion, G-Criterion.
    • Fisher F-test.
    • One sample and two samples z-tests.
    • Correlation coefficients (Pearson, Fechner) and covariation.
    • Normality tests (incl. 1990 D'Agostino's tests).
    • Cross-tabulation.
    • Frequency tables analysis (discrete/continuous).
  • Analysis of Variance (ANOVA)
    • One-way, two-way, three-way analysis of variance
      With post-hoc tests - Bonferroni, Tukey-Kramer, Tukey B, Tukey HSD, Neuman-Keuls.
    • General Linear Models (GLM) ANOVA.
    • Within subjects ANOVA and mixed models.
  • Data Classification
    • Discriminant function analysis.
  • Nonparametric Statistics
    • 2x2 tables analysis (Chi-square, Yates Chi-square, Exact Fisher Test, etc.).
    • Rank and percentile.
    • Chi-square test.
    • Rank correlations (Kendall Tau, Spearman R, Gamma, etc.).
    • Comparing independent samples
      Mann-Whitney U Test, Kolmogorov-Smirnov test, Wald-Wolfowitz Runs Test, Rosenbaum Criterion;Kruskal-Wallis ANOVA, Median test.
    • Comparing dependent samples
      Wilcoxon Matched Pairs Test, Sign Test, Friedman ANOVA, Kendall's Coeff. of Concordance.
    • Cochran Q Test.
    • Regression Analysis
      • Multivariate linear regression.
      • WLS regression.
      • Logistic regression.
      • Stepwise regression.
      • Polynomial regression.
      • Cox proportional-hazards regression.
    • Survival Analysis
      • Cox proportional-hazards regression.
      • Probit-analysis (incl. Finney and MLS methods) with cumulation coefficient estimation.
        Used for LD50 (ED50) calculation.
    • Power Analysis and Sample Size (PASS)
      • Prevalence survey sample size.
      • Binomial exact confidence interval.
      • Sample size needed to observe at least N events.
      • Sample size for a case-control study.
    • Data Processing
      • Data transformation (calculation) with formulas.
      • Sampling (random, periodic, conditional).
      • Random numbers generation.
      • Standardization.
      • Stack/unstack operations.
      • Matrix operations.
    • Statistical Charts
      • From histogram up to box-plot.