Special issue on causal inference

International Journal of Biostatistics

Volumn 6, Issue 2, 2010, Pages

  Moodie, Erica E M ^a   Stephens, David A ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

Causal inference

Indexed keywords

BIOSTATISTICS; CANADA; CLINICAL RESEARCH; CONFERENCE PAPER; SCIENTIFIC LITERATURE; BAYES THEOREM; EDITORIAL; EPIDEMIOLOGY; STATISTICAL MODEL;

BAYES THEOREM; CAUSALITY; CONFOUNDING FACTORS (EPIDEMIOLOGY); MODELS, STATISTICAL;

EID: 77649309866     PISSN: 15574679     EISSN: None     Source Type: Journal    
DOI: 10.2202/1557-4679.1240     Document Type: Conference Paper

References (7)

1. Holland, P. W. (1986). Statistics and causal inference. Journal of the American Statistical Association 81, 945-960.
2. Murphy, S. A. (2003). Optimal dynamic treatment regimes. Journal of the Royal Statistical Society, Series B 65, 331-366.
3. Neyman, J. (1923). On the application of probability theory to agricultural experiments. essay in principles. section 9 (translation published in 1990). Statistical Science 5, 472-480.
4. Robins, J. M. (1999). Marginal structural models versus structural nested models as tools for causal inference. In E. Halloran and D. Berry (Eds.), Statistical Models in Epidemiology: The Environment and Clinical Trials, New York, pp. 95-134. Springer.
5. Robins, J. M. (2004). Optimal structural nested models for optimal sequential decisions. In D. Y. Lin and P. Heagerty (Eds.), Proceedings of the Second Seattle Symposium on Biostatistics, New York, pp. 189-326. Springer.
6. Robins, J. M., M. A. Hernán, and B. Brumback (2000). Marginal structural models and causal inference in epidemiology. Epidemiology 11, 550-60.
7. Rubin, D. B. (1974). Estimating causal effects of treatments in randomized and nonrandomized studies. Journal of Educational Psychology 66, 688-701.