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Volumn 8, Issue 6, 1989, Pages 679-701

The control of confounding by intermediate variables

Author keywords

Causal inference; Counterfactual causality; Longitudinal studies; Observational studies; Survival analysis

Indexed keywords

COMPUTER ANALYSIS; DATA ANALYSIS; EPIDEMIOLOGY; HUMAN; LONGITUDINAL STUDY; METHODOLOGY; NONBIOLOGICAL MODEL; STANDARDIZATION;

EID: 0024382696     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.4780080608     Document Type: Article
Times cited : (192)

References (14)
  • 8
    • 0023203075 scopus 로고
    • A graphical approach to the identification and estimation of causal parameters in mortality studies with sustained exposure periods
    • (1987) Journal of Chronic Diseases , vol.40 , pp. 139S-161S
    • Robins, J.M.1
  • 9
    • 46149139403 scopus 로고
    • A new approach to causal inference in mortality studies with a sustained exposure period – application to control of the healthy worker survivor effect
    • (1986) Mathematical Modelling , vol.7 , pp. 1393-1512
    • Robins, J.M.1
  • 14
    • 84936109202 scopus 로고
    • Causal inference, path analysis, and recursive structural equation models
    • Clogg, C., American Sociological Association, Washington, D. C., Chapter 13
    • (1988) Sociological Methodology , pp. 449-484
    • Holland, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.