Data bias
Teppo Felin, Jan J. Koenderink, Joachim I. Krueger, Denis Noble, George Ellis
Abstract
Data is critical to science. But data itself is passive and inert. Data is not meaningful until it encounters an active, problem-solving observer. And in science, data gains relevance and becomes data in response to human questions, hypotheses, and theories.
Topics & Concepts
BiologyGenome BiologyHuman geneticsComputational biologyEvolutionary biologyComputational genomicsGeneticsGenomicsGenomeGeneStatistical Methods in Clinical TrialsAdvanced Causal Inference TechniquesBayesian Modeling and Causal Inference