Ashley L. Buchanan, Michael G. Hudgens, Stephen R. Cole, Katie R. Mollan, Paul E. Sax, Eric S. Daar, Adaora A. Adimora, Joseph J. Eron, Michael J. Mugavero, Generalizing evidence from randomized ...

What is the difference between representative samples and random samples, and how are they are used to reduce sampling bias?

Linear models, based on random permutation models, are developed to include a wide class of one-sample randomized response designs. The general form of the "optimal" estimator of the finite population ...

The first video in our "Methods 101" series is about random sampling, a concept that undergirds all probability-based survey research. Here's how it works.

To create their random number, the researcher used a technique called random circuit sampling. It essentially leans on quantum computing (which operates under different rules than classical computing ...