Overview
Medical biostatistics for hypothesis testing, clinical trial design, and survival analysis. Covers t-tests, ANOVA, chi-square, Fisher exact, Mann-Whitney, Kruskal-Wallis, sample size calculation, power analysis, and multiple testing correction.
Installation
uv pip install scipy statsmodels
Common Tests
import numpy as np
from scipy import stats
# Two-sample t-test
t_stat, p = stats.ttest_ind(np.random.normal(100, 15, 30), np.random.normal(110, 15, 30))
# Mann-Whitney
u_stat, p = stats.mannwhitneyu(np.random.normal(100, 15, 30), np.random.normal(110, 15, 30))
# Chi-square
chi2, p, dof, _ = stats.chi2_contingency(np.array([[30, 10], [20, 40]]))
Sample Size
from statsmodels.stats.power import TTestIndPower
n = TTestIndPower().solve_power(effect_size=0.5, power=0.80, alpha=0.05)
print(f"N per group: {np.ceil(n):.0f}")
References
1---2name: biostatistics3description: Medical biostatistics hypothesis testing toolkit: t-tests, ANOVA, chi-square, Fisher exact, Mann-Whitney, Kruskal-Wallis, sample size calculation, power analysis, multiple testing correction, survival analysis, and clinical trial biostatistics.4---5## Overview67Medical biostatistics for hypothesis testing, clinical trial design, and survival analysis. Covers t-tests, ANOVA, chi-square, Fisher exact, Mann-Whitney, Kruskal-Wallis, sample size calculation, power analysis, and multiple testing correction.89## Installation1011```bash12uv pip install scipy statsmodels13```1415## Common Tests1617```python18import numpy as np19from scipy import stats2021# Two-sample t-test22t_stat, p = stats.ttest_ind(np.random.normal(100, 15, 30), np.random.normal(110, 15, 30))2324# Mann-Whitney25u_stat, p = stats.mannwhitneyu(np.random.normal(100, 15, 30), np.random.normal(110, 15, 30))2627# Chi-square28chi2, p, dof, _ = stats.chi2_contingency(np.array([[30, 10], [20, 40]]))29```3031## Sample Size3233```python34from statsmodels.stats.power import TTestIndPower35n = TTestIndPower().solve_power(effect_size=0.5, power=0.80, alpha=0.05)36print(f"N per group: {np.ceil(n):.0f}")37```3839## References40- [SciPy stats](https://docs.scipy.org/doc/scipy/reference/stats.html)41- [statsmodels](https://www.statsmodels.org/)
mkurman