Causal inference challenges in social epidemiology: Bias, specificity, and imagination

M. Maria Glymour, Kara Rudolph

Research output: Contribution to journalComment/debate

10 Citations (Scopus)
Original languageEnglish (US)
Pages (from-to)258-265
Number of pages8
JournalSocial Science and Medicine
Volume166
DOIs
StatePublished - Oct 1 2016
Externally publishedYes

Fingerprint

Imagination
Propensity Score
epidemiology
research method
trend
imagination
Specificity
Research Methods
Epidemiology
Causal Inference
Instrumental Variables

Keywords

  • Causal inference
  • Fixed effects models
  • Instrumental variables
  • Population health
  • Propensity scores
  • Research methods
  • Social epidemiology

ASJC Scopus subject areas

  • Health(social science)
  • History and Philosophy of Science

Cite this

Causal inference challenges in social epidemiology : Bias, specificity, and imagination. / Glymour, M. Maria; Rudolph, Kara.

In: Social Science and Medicine, Vol. 166, 01.10.2016, p. 258-265.

Research output: Contribution to journalComment/debate

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