JOURNAL ARTICLE

The effect: An introduction to research design and causality.

  • Published In: Biometrics, 2023, v. 79, n. 1. P. 531 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Chang, Hung‐Ching; Gorczyca, Michael T. 3 of 3

Abstract

The second part strives to make technical tools accessible, and the code examples make these tools readily available for readers to try on their own data. The past 40 years have seen a paradigm shift in how causal discovery and inference is performed. However, this field is still nascent, and consequently there is a lack of accessible documentation about the assumptions needed to make causal conclusions, and whether or not new data-driven tools for causality are valid for a given problem. [Extracted from the article]

Additional Information

  • Source:Biometrics. 2023/03, Vol. 79, Issue 1, p531
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2023
  • ISSN:0006-341X
  • DOI:10.1111/biom.13835
  • Accession Number:162595132
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