Nature

Non-random sampling leads to biased estimates of transcriptome association

Integration of independent data resources across -omics platforms offers transformative opportunity for novel clinical and biological discoveries. However, application of emerging analytic methods in ...
Simon Fraser University

Chapter 5.

1. Distinguish between probability and non-probability sampling and discuss the advantages and disadvantages of each. If you can not specify the probability that any given individual will be in the ...
Nature

Effects of non-landslide sampling strategies on machine learning models in landslide susceptibility mapping

This study aims to explore the effects of different non-landslide sampling strategies on machine learning models in landslide susceptibility mapping. Non-landslide samples are inherently uncertain, ...
The Washington Post

When should we trust polls from non-probability samples?

After my post the other day on tracking public opinion with biased polls, someone pointed me to this 2011 article by David Yeager, Jon Krosnick, LinChiat Chang, Harold Javitz, Matthew Levendusky, ...