Biostatistics
Random effects refer to a statistical modeling approach that accounts for variability in data due to random factors, which can be attributed to individual differences or other unobserved influences. This concept is crucial in understanding how these random factors impact the overall variation in a dataset, especially when multiple levels of grouping are involved. Random effects allow researchers to make inferences about population parameters while considering the random variability associated with different experimental units.
congrats on reading the definition of Random Effects. now let's actually learn it.