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What is BIOSTATS#

  • BIOSTATS is an intuitive app for statistical analysis.

  • It is free and open-source.

  • It works on Windows / Linux.

You can perform tests with a few clicks#

t-Test

_images/t_test.png

ANOVA

_images/anova.png

Chi-Square Test

_images/chi_square_test.png

Regression

_images/regression.png

You can visualize plots with a few clicks#

Histogram

_images/histogram.png

Box Plot

_images/box_plot.png

Regression Plot

_images/regression_plot.png

Multiple Plot

_images/multiple_plot.png

BIOSTATS includes these tests:#

Basic

t-Test

ANOVA

Exact Test

Chi-Square Test

Numeric

One-Sample t-Test

One-Way ANOVA

Binomial Test

Chi-Square Test

Numeric (Grouped)

Two-Sample t-Test

Two-Way ANOVA

Fisher’s Exact Test

Chi-Square Test (Fit)

Categorical

Paired t-Test

One-Way ANCOVA

McNemar’s Exact Test

McNemar’s Test

Contingency

Pairwise t-Test

Two-Way ANCOVA

Mantel-Haenszel Test

Multivariate ANOVA

Repeated Measures ANOVA

Linear Regression

Logistic Regression

Nonparametric

Others

Correlation

Simple Logistic Regression

Sign Test

Screening Test

Correlation Matrix

Multiple Logistic Regression

Median Test

Epidemiologic Study

Simple Linear Regression

Ordered Logistic Regression

Wilcoxon Signed-Rank Test

Factor Analysis

Multiple Linear Regression

Multinomial Logistic Regression

Wilcoxon Rank-Sum Test

Principal Component Analysis

Kruskal-Wallis Test

Linear Discriminant Analysis

Friedman Test

Spearman’s Rank Correlation

BIOSTATS includes these plots:#

Distribution

Categorical

Relational

Multiple

Others

Histogram

Count Plot

Scatter Plot

Ultimate Plot

Heatmap

Density Plot

Strip Plot

Line Plot

Pair Plot

FA Plot

Cumulative Plot

Swarm Plot

Regression Plot

Joint Plot

PCA Plot

2D Histogram

Box Plot

LDA Plot

2D Density Plot

Boxen Plot

Violin Plot

Bar Plot

Quick Start#

Downloads#

The application can be downloaded from the links below:

Windows : https://github.com/hikarimusic/BIOSTATS/releases/latest/download/BIOSTATS.exe

Linux : https://github.com/hikarimusic/BIOSTATS/releases/latest/download/BIOSTATS

Note

Your computer may warn you not to run BIOSTATS.exe for security concerns. Please ignore it and run it anyway. There is definitely no virus in BIOSTATS because I don’t know how to write a virus :D

Note

It might take about 10 seconds to open the program. Please give BIOSTATS some time!

Note

In Linux, you may need to permit the execution by chmod +x BIOSTATS before running the program.

Examples#

You can open examples from Help > Examples. Sample datasets will be imported, and all the options will be automatically set.

_images/examples.png

Install Package#

For programmers, you can install the package from pip:

pip install biostatistics

The main window can be called directly:

biostats

You can also import biostats and use the functions:

:~$ python3
>>> import biostats as bs
>>> data = bs.dataset("one_way_anova.csv")
>>> summary, result = bs.one_way_anova(data=data, variable="Length", between="Location")
>>> summary
     Location  Count      Mean  Std. Deviation  95% CI: Lower  95% CI: Upper
1   Tillamook     10  0.080200        0.011963       0.071642       0.088758
2     Newport      8  0.074800        0.008597       0.067613       0.081987
3  Petersburg      7  0.103443        0.016209       0.088452       0.118434
4     Magadan      8  0.078012        0.012945       0.067190       0.088835
5   Tvarminne      6  0.095700        0.012962       0.082098       0.109302
>>> result
          D.F.  Sum Square  Mean Square  F Statistic   p-value
Location     4    0.004520     0.001130     7.121019  0.000281  ***
Residual    34    0.005395     0.000159          NaN       NaN  NaN

More Info#

For more information, check out these pages:

Note

If you have any suggestions or find any bugs, please contact me. We need your help!

If you use BIOSTATS in your research, it’s a good idea to cite the paper of BIOSTATS.

References:

McDonald, J.H. Handbook of Biological Statistics (3rd ed.). Sparky House Publishing, Baltimore, Maryland, 2014.

Mangiafico, S.S. An R Companion for the Handbook of Biological Statistics, version 1.3.2. 2015, rcompanion.org/rcompanion/.

Rosner, Bernard. Fundamentals of biostatistics. Cengage learning, 2015.

Bobbitt, Zach. Statology. 2021, www.statology.org.

UCLA. Statistical Methods and Data Analytics. 2021, stats.oarc.ucla.edu.