James M. Robins
James M. Robins
professor of epidemiology and biostatistics harvard school of public health
Verified email at hsph.harvard.edu
Title
Cited by
Cited by
Year
Marginal structural models and causal inference in epidemiology
JM Robins, MA Hernan, B Brumback
Epidemiology 11 (5), 550-560, 2000
38522000
Causal diagrams for epidemiologic research
S Greenland, J Pearl, JM Robins
Epidemiology, 37-48, 1999
27321999
Estimation of regression coefficients when some regressors are not always observed
JM Robins, A Rotnitzky, LP Zhao
Journal of the American statistical Association 89 (427), 846-866, 1994
22211994
Causal diagrams for empirical research
J Pearl
Biometrika 82 (4), 669-688, 1995
18611995
A structural approach to selection bias
MA Hernán, S Hernández-Díaz, JM Robins
Epidemiology, 615-625, 2004
18262004
A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
J Robins
Mathematical modelling 7 (9-12), 1393-1512, 1986
17601986
Analysis of semiparametric regression models for repeated outcomes in the presence of missing data
JM Robins, A Rotnitzky, LP Zhao
Journal of the american statistical association 90 (429), 106-121, 1995
15311995
Identifiability and exchangeability for direct and indirect effects
JM Robins, S Greenland
Epidemiology, 143-155, 1992
14191992
Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men
MÁ Hernán, B Brumback, JM Robins
Epidemiology, 561-570, 2000
13852000
Transmission dynamics and control of severe acute respiratory syndrome
M Lipsitch, T Cohen, B Cooper, JM Robins, S Ma, L James, ...
Science 300 (5627), 1966-1970, 2003
13632003
Methotrexate and mortality in patients with rheumatoid arthritis: a prospective study
HK Choi, MA Hernán, JD Seeger, JM Robins, F Wolfe
The Lancet 359 (9313), 1173-1177, 2002
13162002
Doubly robust estimation in missing data and causal inference models
H Bang, JM Robins
Biometrics 61 (4), 962-973, 2005
12962005
Adjusting for nonignorable drop-out using semiparametric nonresponse models
DO Scharfstein, A Rotnitzky, JM Robins
Journal of the American Statistical Association 94 (448), 1096-1120, 1999
10701999
Unified methods for censored longitudinal data and causality
MJ Van der Laan, MJ Laan, JM Robins
Springer Science & Business Media, 2003
9192003
Causal inference
MA Hernán, JM Robins
CRC, 2010
9132010
Semiparametric efficiency in multivariate regression models with missing data
JM Robins, A Rotnitzky
Journal of the American Statistical Association 90 (429), 122-129, 1995
8031995
Transmissibility of 1918 pandemic influenza
CE Mills, JM Robins, M Lipsitch
Nature 432 (7019), 904-906, 2004
8002004
Instruments for causal inference: an epidemiologist's dream?
MA Hernán, JM Robins
Epidemiology, 360-372, 2006
7782006
Confounding and collapsibility in causal inference
S Greenland, JM Robins, J Pearl
Statistical science, 29-46, 1999
7461999
Estimation of a common effect parameter from sparse follow-up data
S Greenland, JM Robins
Biometrics, 55-68, 1985
7341985
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