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Volumn 34, Issue 1, 2007, Pages 186-206

Structural nested models and standard software: A mathematical foundation through partial likelihood

Author keywords

Causality in continuous time; Counterfactuals; Longitudinal data; Observational studies; Partial likelihood; Standard software

Indexed keywords


EID: 33847391494     PISSN: 03036898     EISSN: 14679469     Source Type: Journal    
DOI: 10.1111/j.1467-9469.2006.00539.x     Document Type: Article
Times cited : (5)

References (17)
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    • (2005) Pharmacoepidemiol. Drug Safety , vol.14 , pp. 477-491
    • Hernán, M.A.1    Cole, S.R.2    Margolick, J.3    Cohen, M.4    Robins, J.M.5
  • 10
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    • Lok, J. J. (2001). Statistical modelling of causal effects in time. PhD thesis, Department of Mathematics, Free University of Amsterdam, Amsterdam. Available at: http://www.math.vu.nl/research/theses/pdf/lok.pdf (accessed September 8, 2006).
    • Lok, J. J. (2001). Statistical modelling of causal effects in time. PhD thesis, Department of Mathematics, Free University of Amsterdam, Amsterdam. Available at: http://www.math.vu.nl/research/theses/pdf/lok.pdf (accessed September 8, 2006).
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    • Robins, J. M. (1998). Structural nested failure time models. In Survival analysis, 6 of Encyclopedia of Biostatistics (eds P. Armitage & T. Colton), 4372-4389. John Wiley and Sons, Chichester.
    • Robins, J. M. (1998). Structural nested failure time models. In Survival analysis, Volume 6 of Encyclopedia of Biostatistics (eds P. Armitage & T. Colton), 4372-4389. John Wiley and Sons, Chichester.
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    • G-estimation of the effect of prophylaxis therapy for pneumocystis carinii pneumonia on the survival of AIDS patients
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.