BIOSTATS: An Intuitive App for Biostatistical Analysis
Published:
Developer: HikariMusic
Overview: BIOSTATS is an intuitive app for statistical analysis, designed to assist biomedical researchers in easily and efficiently analyzing their data. With its simple graphical interface, researchers can perform statistical tests and create statistical plots with just a few clicks. This enables researchers to investigate the relationships between different variables and validate their hypotheses easily. The API reference for BIOSTATS can also serve as a review material on biostatistics. The project is open-source and can be found at Github.
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
ANOVA
Chi-Square Test
Regression
You can visualize plots with a few clicks
Histogram
Box Plot
Regression Plot
Multiple Plot
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
(Your computer may warn you not to run BIOSTATS.exe for security concerns. Please ingore it and run it anyway. There is definitely no virus in BIOSTATS because I don’t know how to write a virus :D)
(It might take about 10 seconds to open the program. Please give BIOSTATS some time!)
(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.
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
More information can be found on the official website.
If you have any suggestion or find any bug, please contach me. We need your help!
- Contact me: hikarimusic.tm@gmail.com
If you use BIOSTATS in your research, it’s a good idea to cite the paper of BIOSTATS.
- Citation: Tung, Yeu-Guang (2022). BIOSTATS: An Intuitive App for Biostatistical Analysis. Zenodo. https://doi.org/10.5281/zenodo.10550106
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.