Stratified random sampling is a method of sampling that divides a population into smaller groups that form the basis of test samples.

Researchers argue that, in some situations where machine-learning models are used to allocate scarce resources or opportunities, randomizing decisions in a structured way may lead to fairer outcomes.

Mendelian randomization (MR) is transforming how scientists uncover causal links in health research by using genetic variants as natural experiments. Recent advances are tackling challenges like rare ...

Create an rng object with np.random.default_rng(), you can seed it for reproducible results. You can draw samples from probability distributions, including from the binomial and normal distributions.