This paper is in the following e-collection/theme issue:

Information Retrieval (323) Information Seeking, Information Needs (524) Validity, Reliability, and Bias (103)

Published on in Vol 22, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17502, first published .
Biased Sampling and Causal Estimation of Health-Related Information: Laboratory-Based Experimental Research

Biased Sampling and Causal Estimation of Health-Related Information: Laboratory-Based Experimental Research

Biased Sampling and Causal Estimation of Health-Related Information: Laboratory-Based Experimental Research

Authors of this article:

María Manuela Moreno-Fernández1 Author Orcid Image ;   Helena Matute1 Author Orcid Image
Article Authors Cited by (5) Tweetations (43) Metrics

Journals

  1. Moreno-Fernández M, Blanco F, Matute H. The tendency to stop collecting information is linked to illusions of causality. Scientific Reports 2021;11(1) View
  2. Blanco F, Moreno-Fernández M, Matute H. When Success Is Not Enough: The Symptom Base-Rate Can Influence Judgments of Effectiveness of a Successful Treatment. Frontiers in Psychology 2020;11 View
  3. Vinas A, Blanco F, Matute H. Scarcity affects cognitive biases: The case of the illusion of causality. Acta Psychologica 2023;239:104007 View
  4. Trübner M, Patzina A, Lehmann J, Brinkhaus B, Kessler C, Hoffmann R. Health information-seeking behavior among users of traditional, complementary and integrative medicine (TCIM). BMC Complementary Medicine and Therapies 2025;25(1) View

Books/Policy Documents

  1. Witte T, Gfesser T, Schwarz J. HCI International 2023 – Late Breaking Papers. View