A simple random sample is a subset of a statistical population where each member of the population is equally likely to be chosen.

Researchers use the simple random sample methodology to choose a subset of individuals from a larger population. While easier to implement than other methods, it can be costly and time-consuming.

Finding the subset of data most conducive to unbiased or least biased treatment effect estimation is a challenging, complex problem. However, the rise in computational power and algorithmic ...

Randomization models, often termed "null" models, have been widely used since the 1970s in studies of species community and biogeographic patterns. More recently they have been used to test for nested ...