Learn how representative samples and random samples differ and why combining them minimizes sampling bias for accurate data.

Discover how sample size neglect impacts statistical conclusions and learn to avoid this cognitive bias studied by renowned experts like Tversky and Kahneman.

Failure to follow this basic principle of population science -- a common complaint about research in the cognitive sciences -- can profoundly skew the results of brain imaging studies, leading to ...

Statistics are often estimated from a sample rather than from the entire population. If the inclusion probability of the sample is unknown to the researcher, that is, a nonprobability sample, naively ...

Pathology has long been the cornerstone of cancer diagnosis and treatment. A pathologist carefully examines an ultrathin slice of human tissue under a microscope for clues that indicate the presence, ...

Figure 1: Quantification of transcript abundance from RNA-seq experiments. We focused on genes with two isoforms to more easily identify what features underlie the difference in estimated expression.