James Robins

From Wikipedia, the free encyclopedia

James M. Robins is an epidemiologist and biostatistician best known for advancing methods for drawing causal inferences from complex observational studies and randomized trials, particularly those in which the exposure or treatment varies with time.

He graduated in medicine from Washington University in 1976. He is currently Mitchell L. and Robin LaFoley Dong Professor of Epidemiology at Harvard School of Public Health. He has published over 100 papers in academic journals.

[edit] References

James Robins — Mitchell L. and Robin LaFoley Dong Professor of Epidemiology. Harvard School of Public Health (Accessed 15 March 2008).
Dr. James M. Robins — Bibliography Harvard School of Public Health (Accessed 15 March 2008).
Gehrman, Elizabeth (March 23 2006) James Robins makes statistics tell the truth: Numbers in the service of health. Harvard University Gazette.

[edit] Selected publications

Robins, J.M. (1989). "The control of confounding by intermediate variables". Statistics in Medicine 8: 679-701. doi:10.1002/sim.4780080608.
Robins, J.M.; Tsiatis, A.A. (1991). "Correcting for non-compliance in randomized trials using rank preserving structural failure time models". Communications in Statistics-Theory and Methods 20 (8): 2609-2631. doi:10.1080/03610929108830654.
Robins, J.M. (1994). "Correcting for non-compliance in randomized trials using structural nested mean models". Communications in Statistics-Theory and Methods 23 (8): 2379-2412. doi:10.1080/03610929408831393.
Robins, J.M. (1997). "Causal inference from complex longitudinal data", in M. Berkane: Latent Variable Modeling and Applications to Causality, Lecture notes in statistics 120. Springer-Verlag, 69-117.
Robins, J.M.; Ritov, Y. (1997). "Toward A Curse Of Dimensionality Appropriate (CODA) Asymptotic Theory For Semi-parametric Models". Statistics in Medicine 16 (3): 285-319. doi:10.1002/(SICI)1097-0258(19970215)16:3%3C285::AID-SIM535%3E3.3.CO%3B2-R.
Robins, J.M. (1998). "Correction for non-compliance in equivalence trials". Statistics in Medicine 17 (3): 269-302. doi:10.1002/(SICI)1097-0258(19980215)17:3%3C269::AID-SIM763%3E3.0.CO;2-J.
Robins, J.M.; Hernan, M.A.; Brumback, B. (2000). "Marginal Structural Models and Causal Inference in Epidemiology". Epidemiology 11 (5): 550-560.
Van Der Laan, M.J.; Robins, J.M. (2003). Unified Methods for Censored Longitudinal Data and Causality, Springer Series in Statistics. Springer. ISBN 0387955569.