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1
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46149139403
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A new approach to causal inference in mortality studies with a sustained exposure period-application to control of the healthy worker survivor effect
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Robins JM.A new approach to causal inference in mortality studies with a sustained exposure period-application to control of the healthy worker survivor effect. Mathematical Modelling 1986; 7:1393-1512.
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Mathematical Modelling
, vol.7
, pp. 1393-1512
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Robins, J.M.1
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2
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0033847784
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Marginal structural models and causal inference in epidemiology
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Robins JM, Hernán MA, Brumback B.Marginal structural models and causal inference in epidemiology. Epidemiology 2000; 11:550-560.
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(2000)
Epidemiology
, vol.11
, pp. 550-560
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Robins, J.M.1
Hernán, M.A.2
Brumback, B.3
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3
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0026643893
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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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Robins JM, Blevins D, Ritter G, Wulfsohn M.G-estimation of the effect of prophylaxis therapy for Pneumocystis carinii pneumonia on the survival of AIDS patients. Epidemiology 1992; 3:319-336.
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(1992)
Epidemiology
, vol.3
, pp. 319-336
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Robins, J.M.1
Blevins, D.2
Ritter, G.3
Wulfsohn, M.4
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4
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85056259802
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Estimation of the causal effects of time-varying exposures
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Fitzmaurice G, Davidian M, Verbeke G, Molenberghs G (eds). Chapman and Hall/CRC Press: New York
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Robins JM, Hernán MA.Estimation of the causal effects of time-varying exposures. In Longitudinal Data Analysis, Fitzmaurice G, Davidian M, Verbeke G, Molenberghs G (eds). Chapman and Hall/CRC Press: New York, 2009; 553-599.
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Longitudinal Data Analysis
, pp. 553-599
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Robins, J.M.1
Hernán, M.A.2
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5
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0000608132
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Estimation of the time-dependent accelerated failure time model in the presence of confounding factors
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Robins JM.Estimation of the time-dependent accelerated failure time model in the presence of confounding factors. Biometrika 1992; 79(2):321-334.
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(1992)
Biometrika
, vol.79
, Issue.2
, pp. 321-334
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Robins, J.M.1
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6
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0032529330
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G-estimation of causal effects: isolated systolic hypertension and cardiovascular death in the Framingham Heart Study
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Witteman JCM, D'Agostino RB, Stijnen T, Kannel WB, Cobb JC, de Ridder MAJ, Hofman A, Robins JM.G-estimation of causal effects: isolated systolic hypertension and cardiovascular death in the Framingham Heart Study. American Journal of Epidemiology 1998; 148(4):390-401.
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(1998)
American Journal of Epidemiology
, vol.148
, Issue.4
, pp. 390-401
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Witteman, J.C.M.1
D'Agostino, R.B.2
Stijnen, T.3
Kannel, W.B.4
Cobb, J.C.5
de Ridder, M.A.J.6
Hofman, A.7
Robins, J.M.8
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7
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0037090056
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Estimating the effect of cardiovascular risk factors on all-cause mortality and incidence of coronary heart disease using G-estimation: the atherosclerosis risk in communities study
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Tilling K, Sterne JA, Szklo M.Estimating the effect of cardiovascular risk factors on all-cause mortality and incidence of coronary heart disease using G-estimation: the atherosclerosis risk in communities study. American Journal of Epidemiology 2002; 155(8):710-718.
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American Journal of Epidemiology
, vol.155
, Issue.8
, pp. 710-718
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Tilling, K.1
Sterne, J.A.2
Szklo, M.3
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8
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0033839024
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Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men
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Hernán MA, Brumback B, Robins JM.Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men. Epidemiology 2000; 11:561-570.
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(2000)
Epidemiology
, vol.11
, pp. 561-570
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Hernán, M.A.1
Brumback, B.2
Robins, J.M.3
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9
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0002531157
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Bayesian inference for causal effects: the role of randomization
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Rubin DB.Bayesian inference for causal effects: the role of randomization. The Annals of Statistics 1978; 6:34-58.
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(1978)
The Annals of Statistics
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Rubin, D.B.1
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10
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74549138178
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Concerning the consistency assumption in causal inference
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VanderWeele TJ.Concerning the consistency assumption in causal inference. Epidemiology 2009; 20(6):880-883.
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Epidemiology
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VanderWeele, T.J.1
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12
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0032924944
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Causal diagrams for epidemiological research
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Greenland S, Pearl J, Robins JM.Causal diagrams for epidemiological research. Epidemiology 1999; 10(1):37-48.
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(1999)
Epidemiology
, vol.10
, Issue.1
, pp. 37-48
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Greenland, S.1
Pearl, J.2
Robins, J.M.3
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13
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0035761764
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Causal inference in the Health Sciences: a conceptual introduction
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Pearl J.Causal inference in the Health Sciences: a conceptual introduction. Health Services & Outcomes Research Methodology 2001; 2:189-220.
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Health Services & Outcomes Research Methodology
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Pearl, J.1
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15
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0002456171
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Estimation of effects of sequential treatments by reparameterizing directed acyclic graphs
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Geiger D, Shenoy P (eds). Morgan Kaufmann: San Francisco
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Robins JM, Wasserman L.Estimation of effects of sequential treatments by reparameterizing directed acyclic graphs. In Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, Providence Rhode Island, Geiger D, Shenoy P (eds). Morgan Kaufmann: San Francisco, 1997; 409-420.
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(1997)
Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, Providence Rhode Island
, pp. 409-420
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Robins, J.M.1
Wasserman, L.2
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17
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84855817938
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gformula: Estimating causal effects in the presence of time-varying confounding or mediation using the g-computation formula
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Daniel RM, De Stavola BL, Cousens SN.gformula: Estimating causal effects in the presence of time-varying confounding or mediation using the g-computation formula. The Stata Journal 2011; 11(4):479-517.
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The Stata Journal
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Daniel, R.M.1
De Stavola, B.L.2
Cousens, S.N.3
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18
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33750699283
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Causal effects in longitudinal studies: definition and maximum likelihood estimation
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Neugebauer R, van der Laan MJ.Causal effects in longitudinal studies: definition and maximum likelihood estimation. Computational Statistics & Data Analysis 2006; 51(3):1664-1675.
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Computational Statistics & Data Analysis
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Neugebauer, R.1
van der Laan, M.J.2
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19
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75349099611
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Intervening on risk factors for coronary heart disease: an application of the parametric g-formula
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Taubman SL, Robins JM, Mittleman MA, Hernán MA.Intervening on risk factors for coronary heart disease: an application of the parametric g-formula. International Journal of Epidemiology 2009; 38(6):1599-1611.
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International Journal of Epidemiology
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Taubman, S.L.1
Robins, J.M.2
Mittleman, M.A.3
Hernán, M.A.4
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20
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0017133178
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Inference and missing data (with discussion)
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Rubin DB.Inference and missing data (with discussion). Biometrika 1976; 63:581-592.
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(1976)
Biometrika
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Rubin, D.B.1
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21
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51749124303
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Constructing inverse probability weights for marginal structural models
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Cole SR, Hernán MA.Constructing inverse probability weights for marginal structural models. American Journal of Epidemiology 2008; 168:656-664.
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American Journal of Epidemiology
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Cole, S.R.1
Hernán, M.A.2
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22
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33544469938
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Controlling for time-dependent confounding using marginal structural models
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Fewell Z, Hernán MA, Wolfe F, Tilling K, Choi H, Sterne JAC.Controlling for time-dependent confounding using marginal structural models. The Stata Journal 2004; 4:402-420.
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Fewell, Z.1
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Wolfe, F.3
Tilling, K.4
Choi, H.5
Sterne, J.A.C.6
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23
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79953852789
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Implementation of G-computation on a simulated data set: demonstration of a causal inference technique
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Snowden JM, Rose S, Mortimer KM.Implementation of G-computation on a simulated data set: demonstration of a causal inference technique. American Journal of Epidemiology 2011; 173(7):731-738.
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Snowden, J.M.1
Rose, S.2
Mortimer, K.M.3
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24
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0002864224
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Confounding and collapsibility in causal inference
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Greenland S, Robins JM, Pearl J.Confounding and collapsibility in causal inference. Statistical Science 1999; 14(1):29-46.
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(1999)
Statistical Science
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Greenland, S.1
Robins, J.M.2
Pearl, J.3
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26
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46249131752
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Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data (with discussion)
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Kang JDY, Schafer JL.Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data (with discussion). Statistical Science 2007; 22(4):523-580.
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Statistical Science
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Kang, J.D.Y.1
Schafer, J.L.2
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27
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49749139766
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Understanding OR, PS and DR. Comment on "Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data" by Kang and Schafer
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Tan Z.Understanding OR, PS and DR. Comment on "Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data" by Kang and Schafer. Statistical Science 2007; 22(4):560-568.
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Statistical Science
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Tan, Z.1
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28
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0000858866
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Analytic methods for estimating HIV-treatment and cofactor effects
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Ostrow DG, Kessler RC (eds). Plenum Press: New York
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Robins JM.Analytic methods for estimating HIV-treatment and cofactor effects. In Methodological Issues in AIDS Behavioral Research, Ostrow DG, Kessler RC (eds). Plenum Press: New York, 1993; 213-290.
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Methodological Issues in AIDS Behavioral Research
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Robins, J.M.1
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29
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84972969037
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Correcting for non-compliance in randomized trials using structural nested mean models
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Robins JM.Correcting for non-compliance in randomized trials using structural nested mean models. Communications in Statistics-Theory and Methods 1994; 23:2379-2412.
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Communications in Statistics-Theory and Methods
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Robins, J.M.1
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31
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40949090705
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G-estimation of causal effects, allowing for time-varying confounding
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Sterne JAC, Tilling K.G-estimation of causal effects, allowing for time-varying confounding. The Stata Journal 2002; 2:164-182.
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The Stata Journal
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Sterne, J.A.C.1
Tilling, K.2
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33
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33644851650
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Doubly robust estimation in missing data and causal inference models
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Bang H, Robins JM.Doubly robust estimation in missing data and causal inference models. Biometrics 2005; 61(4):962-973.
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(2005)
Biometrics
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Bang, H.1
Robins, J.M.2
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35
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46749105591
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Comment: Improved local efficiency and double robustness
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Article 10.
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Tan Z.Comment: Improved local efficiency and double robustness. The International Journal of Biostatistics 2008; 4. Article 10.
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The International Journal of Biostatistics
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Tan, Z.1
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36
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77955858058
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Bounded, efficient and doubly robust estimation with inverse weighting
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Tan Z.Bounded, efficient and doubly robust estimation with inverse weighting. Biometrika 2010; 97:661-682.
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Biometrika
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Tan, Z.1
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37
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69249196484
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Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data
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Cao W, Tsiatis AA, Davidian M.Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data. Biometrika 2009; 96:723-734.
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Biometrika
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Cao, W.1
Tsiatis, A.A.2
Davidian, M.3
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39
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53849122359
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Estimation and extrapolation of optimal treatment and testing strategies
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Robins JM, Orellana L, Rotnitzky A.Estimation and extrapolation of optimal treatment and testing strategies. Statistics in Medicine 2008; 27:4678-4721.
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(2008)
Statistics in Medicine
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Robins, J.M.1
Orellana, L.2
Rotnitzky, A.3
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40
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33845913126
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Optimal structural nested models for optimal sequential decisions
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Lin DY, Heagerty P (eds). Springer: New York
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Robins JM.Optimal structural nested models for optimal sequential decisions. In Proceedings of the Second Seattle Symposium on Biostatistics, Lin DY, Heagerty P (eds). Springer: New York, 2004; 189-326.
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Proceedings of the Second Seattle Symposium on Biostatistics
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Robins, J.M.1
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41
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33645235659
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Comparison of dynamic treatment regimes via inverse probability weighting
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Hernán MA, Lanoy E, Costagliola D, Robins JM.Comparison of dynamic treatment regimes via inverse probability weighting. Basic & Clinical Pharmacology & Toxicology 2006; 98(3):237-242.
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(2006)
Basic & Clinical Pharmacology & Toxicology
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Hernán, M.A.1
Lanoy, E.2
Costagliola, D.3
Robins, J.M.4
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42
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77950539248
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Dynamic regime marginal structural mean models for estimation of optimal dynamic treatment regimes, Part I: main content
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Article 8.
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Orellana L, Rotnitzky A, Robins JM.Dynamic regime marginal structural mean models for estimation of optimal dynamic treatment regimes, Part I: main content. The International Journal of Biostatistics 2010; 6(2). Article 8.
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(2010)
The International Journal of Biostatistics
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, Issue.2
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Orellana, L.1
Rotnitzky, A.2
Robins, J.M.3
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43
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77952041698
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When to start treatment? A systematic approach to the comparison of dynamic regimes using observational data
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Article 18.
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Cain LE, Robins JM, Lanoy E, Logan R, Costagliola D, Hernán MA.When to start treatment? A systematic approach to the comparison of dynamic regimes using observational data. The International Journal of Biostatistics 2010; 6(2). Article 18.
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(2010)
The International Journal of Biostatistics
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Cain, L.E.1
Robins, J.M.2
Lanoy, E.3
Logan, R.4
Costagliola, D.5
Hernán, M.A.6
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44
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40249086760
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Population intervention models in causal inference
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Hubbard AE, van der Laan MJ.Population intervention models in causal inference. Biometrika 2008; 95(1):35-47.
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Biometrika
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Hubbard, A.E.1
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45
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79953904512
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Invited commentary: G-computation-lost in translation?
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Vansteelandt S, Keiding N.Invited commentary: G-computation-lost in translation?American Journal of Epidemiology 2011; 173(7):739-742.
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American Journal of Epidemiology
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Vansteelandt, S.1
Keiding, N.2
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46
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78651296654
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Estimation of controlled direct effects on a dichotomous outcome using logistic structural direct effect models
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Vansteelandt S.Estimation of controlled direct effects on a dichotomous outcome using logistic structural direct effect models. Biometrika 2010; 97(4):921-934.
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Biometrika
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Vansteelandt, S.1
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47
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84870692525
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Structural nested cumulative failure time models to estimate the effects of interventions
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Picciotto S, Hernán MA, Page JH, Young JG, Robins JM.Structural nested cumulative failure time models to estimate the effects of interventions. Journal of the American Statistical Association 2012; 107(499):886-900.
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(2012)
Journal of the American Statistical Association
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Picciotto, S.1
Hernán, M.A.2
Page, J.H.3
Young, J.G.4
Robins, J.M.5
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