Hernán MA, Lanoy, E, Costagliola D, Robins JM (2006). Comparison of dynamic treatment regimes via inverse probability weighting. Basic & Clinical Pharmacology & Toxicology, 98:237-242.

Hernán MA, Robins JM (2006). Estimating causal effects from epidemiological data. Journal of Epidemiology and Community Health, 60:578-586.

Hernán MA, Robins JM (2006). Instruments for causal inference: an epidemiologist's dream?. Epidemiology, 17(4):360-372.

Bang H, Robins J (2005). Doubly robust estimation in missing data and causal inference models. Biometrics, 61:692-972.

Hernán MA, Cole S, Margolick J, Cohen M, Robins J (2005). Structural accelerated failure time models for survival analysis in studies with time-varying treatments. Pharmacoepidemiology and Drug Safety. (Published online 19 Jan 2005)

Andrews C, van der Laan M, Robins J (2005). Locally efficient estimation of regression parameters using current status data. Journal of Multivariate Analysis (to appear).

Robins JM, Rotnitzky A.(2004). Estimation of treatment effects in randomised trials with non-compliance and a dichotomous outcome using structural mean models.Biometrika 91: 763-783.

Freedman DA, Petiti DB, Robins JM (2004). On the efficacy of screening for breast cancer.pp 56-64. Comment by Gotzsche PC. On the benefits and harms of screening for breast cancer pp 56-64. Comment by Miller AB. Commentary: A defence of the Health Insurance Plan (HIP) study and the Canadian National Breast Screening Study (CNBSS) pp 64-65. Commentary:False premises, false promises and false positives - the case against mammographic screening for breast cancer. pp 66-67. Comment by Berry D.Commentary: Screening mamography: a decision analysis. pp68. Rejoinder by Freedman DA, Petitti DB, Robins JM. Rejoinder. pp 69-73

Robins JM (2004). Should compensation schemes be based on the probability of causation or expected years of life lost?. Journal of Law and Policy, 12(2):537-548.

Hernán MA, Hernández-Díaz S, Robins JM (2004). A structural approach to selection bias. Epidemiology, 15:615-625.

Hernán MA (2004). A definition of causal effect for epidemiologic research. Journal of Epidemiology and Community Health, 58:265-271.

Brumback BA, Hernán MA, Haneuse SJPA, Robins JM (2004). Sensitivity analyses for unmeasured confounding assuming a marginal structural model for repeated measures. Statistics in Medicine, 23:749-767.

Robins JM, Hernán MA, Siebert U (2004). Effects of multiple interventions.In: Comparative Quantification of Health Risks: Global and Regional Burden of Disease Attributable to Selected Major Risk Factors Vol I. Ezzati M, Lopez AD, Rodgers A, Murray CJL, eds. Geneva: World Health Organization.

Rotnizky A, Robins JM (2003). Inverse probability weighted estimation in survival analysis. To appear in The Encyclopedia of Biostatistics.

Robins JM (2003). Semantics of causal DAG models and the identification of direct and indirect effects. In Highly Structured Stochastic Systems, P. Green, N.L. Hjort, S. Richardson, Editors. NY: Oxford University Press, pp. 70-81.

Robins JM (2003). General methodological considerations. Journal of Econometrics, 112(2003): 89-106.

Newey WK, Hsieh F, Robins JM (2003). Twicing Kernels and a Small Bias Property of Semiparametric Estimators. to appear in Econometrika.

Robins JM, Scheines R, Spirtes P, Wasserman L (2003). Uniform consistency in causal inference. Biometrika, 90(3):491-515.

Kong A, McCullagh P, Meng X-L, Nicolae D, Tan Z (2003). Discussion of "A theory of statistical models for Monte Carlo integration".Journal of the Royal Statistical Society: Series B, 65(3):585-618.

Cole SR, Hernán MA, Robins JM, Anastos K, Chmiel J, Detels R, Ervin C, Feldman J, Greenblatt R, Kingsley L, Lai S, Young M, Cohen M, Munoz A. (2003). Effect of highly active antiretroviral therapy on time to acquired immunodeficiency syndrome or death using marginal structural models. American Journal of Epidemiology, 158(7):687-694.

Robins, JM (2003). Discussion of "Optimal dynamic treatment regimes" by Susan A. Murphy. Journal of the Royal Statistical Society: Series B, 65(2):355-366.

van der Laan MJ, Robins JM.(2003). Unified Methods for Censored Longitudinal Data and Causality. Springer Verlag: New York.Click here to purchase.

Robins JM (2002). Comment on "Covariance adjustment in randomized experiments and observational studies" by Paul R.Rosenbaum. Statistical Science, 17(3):286-327.

Robins JM (2002). Commentary on "Using inverse weighting and predictive inference to estimate the effects of time-varying treatments on the discrete-time hazard" by Dawson and Lavori. Statistics in Medicine, 21:1663-1680.

Hernán MA, Brumback B, Robins JM (2002). Estimating the causal effect of zidovudine on CD4 count with a marginal structural model for repeated measures. Statistics in Medicine, 21:1689-1709.

Hernán MA, Hernández-Díaz S, Werler MM, Mitchell AA (2002). Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology. American Journal of Epidemiology, 155:176-184.

Cole SR, Hernán MA (2002). Fallibility in estimating direct effects. International Journal of Epidemiology, 31:163-165.

Robins JM, Smoller JW, Lunetta K (2001). On the validity of the TDT test in the presence of comorbidity and ascertainment bias. Genetic Epidemiology. 21(4):326-36.

Gill RD, Robins JM (2001). Causal inference for complex longitudinal data: the continuous case. Annals of Statistics (in press).

Hernán MA, Brumback B, Robins JM (2001). Marginal structural models to estimate the joint causal effect of nonrandomized treatments. Journal of the American Statistical Association -- Applications and Case Studies, 96(454):440-448.

Robins JM (2001). Data, design, and background knowledge in etiologic inference. Epidemiology, 11(3):313-320.

Robins JM, Rotnitzky A, Bonetti M (2001). Discussion of "Addressing an idiosyncrasy in estimating survival curves using double sampling in the presence of self-selected right censoring" by Frangakis and Rubin. Biometrics, 57(2):343-347.

Satten GA, Datta S, Robins JM (2001). Estimating the marginal survival function in the presence of time dependent covariates. Statistics & Probability Letters (in press).

Scharfstein DO, Robins JM, Eddings W, Rotnitzky A (2001). Inference in randomized studies with informative censoring and discrete time-to-event endpoints. Biometrics, 57(2):404-413.

Rotnitzky A, Scharfstein DO, Su T-L, Robins JM (2001). Methods for Conducting Sensitivity Analysis of Trials with Potentially Nonignorable Competing Causes of Censoring. Biometrics, 57(1):103-113.

Robins JM, Rotnitzky A. (2001).Comment on the Bickel and Kwon article, "Inference for semiparametric models: Some questions and an answer'' Statistica Sinica, 11(4):920-936. ["On Double Robustness."]

Murphy S, van der Laan M, Robins JM and CPPRG.(2001). Marginal mean models for dynamic regimes. Journal of the American Statistical Association 96(456):1410-1423

Robins JM, Rotnitzky A (2001). Comment on the Bickel and Kwon article, "Inference for semiparametric models: Some questions and an answer'' Statistica Sinica, 11(4):920-936.["On Double Robustness."] .(2001).

Smoller JW, Lunetta K, Robins JM (2000). Implications of Comorbidity and ascertainment bias for identifying disease genes. American Journal of Medical Genetics (Neuropsychiatric Genetics). 96:817-822.

Breslow NE, Robins JM, Wellner JA (2000). On the semiparametric efficiency of logistic regression under case-control sampling. Bernoulli. 6(3):447-455.

Rotnitzky A, Cox DR, Bottai M, Robins J M (2000). Likelihood-based inference with singular information matrix. Bernoulli. 6(2):243-284.

Robins JM, Hernán MA, Brumback B (2000). Marginal structural models and causal inference in epidemiology. Epidemiology, 11(5):550-560.

Hernán MA, Brumback B, Robins JM (2000). Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men. Epidemiology, 11(5):561-570.

Robins JM (2000). Robust estimation in sequentially ignorable missing data and causal inference models. Proceedings of the American Statistical Association. Section on Bayesian Statistical Science 1999, pp. 6-10.

Robins JM and Finkelstein D (2000). Correcting for Non-compliance and Dependent Censoring in an AIDS Clinical Trial with Inverse Probability of Censoring Weighted (IPCW) Log-rank Tests. Biometrics, 56(3):779-788.

Robins JM, Greenland S (2000). Comment on "Causal Inference Without Counterfactuals" by Dawid AP. Journal of the American Statistical Association -- Theory and Methods, 95(450):477-482.

Robins JM, Rotnitzky A, van der Laan M (2000). Comment on "On Profile Likelihood" by Murphy SA and van der Vaart AW. Journal of the American Statistical Association -- Theory and Methods, 95(450):431-435.

Robins JM, van der Vaart A, Ventura V (2000). The Asymptotic Distribution of P-Values in Composite Null Models. Journal of the American Statistical Association, 95(452):1143-1156. Comments, Journal of the American Statistical Association, 95(452):1157-1167. Rejoinder by Bayarri and Berger, Journal of the American Statistical Association, 95(452):1168-1170. Rejoinder by Robins, van der Vaart and Ventura, Journal of the American Statistical Association, 95(452):1171-1172.

Robins JM, Wang N (2000). Inference for imputation estimators. Biometrika, 87(1):113-124.

Robins JM, Wasserman L (2000). Conditioning, likelihood, and coherence: A review of some foundational concepts. Journal of the American Statistical Association, 95(452):1340-1346.

Scharfstein DO, Robins JM (2000). Non/Semi-Parametric Estimation of the Failure Time Distribution in the Presence of Informative Censoring. Submitted to Biometrika. (Click here and then on link to paper.)

• Scharfstein DO, Robins JM (2000). Non/Semi-Parametric Estimation of the Failure Time Distribution in the Presence of Informative Censoring: Technical Appendix. (Click here and then on link to paper.)

Robins JM, Rotnitzky A.(2000). Estimation in missing data models. International Biometric Society: The XXth International Biometric Conference, Volume II, Invited program: pp. 153-162.

Greenland S, Robins JM, Pearl J (1999). Confounding and collapsibility in causal inference. Statistical Science, 14(1): 29-46.

Keiding N, Filiberti M, Esbjerg S, Robins JM, Jacobsen N (1999). The Graft Versus Leukemia Effect after Bone Marrow Transplantation: A Case Study Using Structural Nested Failure Time Models. Biometrics. 55(1): 23-29.

Robins JM (1999). Association, causation, and marginal structural models. Synthese, 121:151-179.

Robins JM (1999). Comment on "Choice as an Alternative to Control in Observational Studies" by Rosenbaum P. Statistical Science, 14(3):281-293.

Robins JM (1999). Testing and estimation of direct effects by reparameterizing directed acyclic graphs with structural nested models. In: Computation, Causation, and Discovery. Eds. C. Glymour and G. Cooper. Menlo Park, CA, Cambridge, MA: AAAI Press/The MIT Press, pp. 349-405. For further information on this book from The MIT Press, click here.

Robins JM (1999). Marginal Structural Models versus Structural Nested Models as Tools for Causal Inference. Statistical Models in Epidemiology: The Environment and Clinical Trials. Halloran ME, Berry D, Eds, IMA Volume 116, NY: Springer-Verlag, pp. 95-134.

Robins JM, Greenland S, Hu F-C (1999). Estimation of the causal effect of a time-varying exposure on the marginal mean of a repeated binary outcome. Journal of the American Statistical Association - Applications and Case Studies, 94:687-700. Reproduced courtesy of the American Statistical Association.

Robins JM, Greenland S, Hu F-C (1999). Rejoinder to Comments on "Estimation of the causal effect of a time-varying exposure on the marginal mean of a repeated binary outcome". Journal of the American Statistical Association, Applications and Case Studies, 94:708-712. Reproduced courtesy of the American Statistical Association.

Greenland S, Pearl J, Robins JM (1999). Causal diagrams for epidemiologic research. Epidemiology, 10(1):37-48.

Robins JM, Rotnitzky A, Scharfstein DO (1999). Sensitivity Analysis for Selection Bias and Unmeasured Confounding in Missing Data and Causal Inference Models. In: Statistical Models in Epidemiology: The Environment and Clinical Trials. Halloran ME, Berry D, eds. IMA Volume 116, NY: Springer-Verlag, pp. 1-92.

Scharfstein DO, Rotnitzky A, Robins JM (1999). Adjusting for non-ignorable drop-out using semiparametric non-response models. Journal of the American Statistical Association, 94:1096-1120. Comments and Rejoinder, Journal of the American Statistical Association, 94:1121-1146. Reproduced courtesy of the American Statistical Association.

Robins JM, Wasserman L (1999). On the impossibility of inferring causation from association without background knowledge. In: Computation, Causation, and Discovery. Eds. C. Glymour and G. Cooper. Menlo Park, CA, Cambridge, MA: AAAI Press/The MIT Press, pp. 305-321.

• Response: Glymour C, Spirtes P, Richardson T. On the possibility of inferring causation from association without background knowledge. In: Computation, Causation, and Discovery. Eds. C. Glymour and G. Cooper. Menlo Park, CA, Cambridge, MA: AAAI Press/The MIT Press, pp. 323-331.

Robins JM, Wasserman L (1999). Rejoinder to Glymour and Spirtes. In: Computation, Causation, and Discovery. Eds. C. Glymour and G. Cooper. Menlo Park, CA, Cambridge, MA: AAAI Press/The MIT Press, pp. 333-342.

• Glymour C, Spirtes P, Richardson T. Response to Rejoinder. In: Computation, Causation, and Discovery. Eds. C. Glymour and G. Cooper. Menlo Park, CA, Cambridge, MA: AAAI Press/The MIT Press, pp. 343-345.

Joffe MM, Hoover DR, Jacobson LP, Kingsley L, Chmiel JS, Fischer BR, Robins JM (1998). Estimating the effect of Ziduvodine on Kaposi's sarcoma from observational data using a rank preserving failure time model. Statistics in Medicine. 17:1073-1102.

Robins JM (1998). Correction for non-compliance in equivalence trials. Statistics in Medicine, 17:269-302.

Robins JM (1998). Marginal structural models. In: 1997 Proceedings of the Section on Bayesian Statistical Science, Alexandria, VA: American Statistical Association; pp. 1-10.

Robins JM, Wang N (1998). Discussion on the papers by Forster and Smith and Clayton et al. Journal of the Royal Statistical Society B, 60(Part 1):91-93.

Rotnitzky A, Robins JM, Scharfstein DO (1998). Semiparametric regression for repeated outcomes with nonignorable nonresponse. Journal of the American Statistical Association, 93(444):1321-1339.

Van der Laan MJ, Robins JM (1998). Locally efficient estimation with current status data and time-dependent covariates. Journal of the American Statistical Association, 93:693-701. Reproduced courtesy of the American Statistical Association.

Wang N, Robins JM (1998). Large-sample theory for parametric multiple imputation procedures. Biometrika (in press).

Witteman JC, d'Agostino RB, Stijnen T, Kannel WB, Cobb JC, deRidder MAJ, Hoffman A, Robins JM (1998). G-estimation of causal effects: isolated systolic hypertension and cardiovascular death in the Framingham Study. American Journal of Epidemiology, 148:390-401. Reproduced courtesy of the American Journal of Epidemiology.

Newey W, Hsieh F. Robins JM (1998). Undersmoothing and bias corrected functional estimation. Econometrica, 72(3):947

Robins JM (1997). Non-response models for the analysis of non-monotone non-ignorable missing data. Statistics in Medicine. 16:21-37.

Rotnitzky A, Holcroft C, Robins JM (1997). Efficiency comparisons in multivariate multiple regression with missing outcomes. Journal of Multivariate Analysis. 61:102-128.

Scharfstein DO, Tsiatis AA, Robins JM (1997). Semiparametric efficiency and its implication on the design and analysis of group sequential studies. Journal of the American Statistical Association. 92(44): 1342-1350.

Gill RD, van der Laan MJ, Robins JM (1997). Coarsening at random: characterizations, conjectures and counterexamples. Proceedings of the First Seattle Symposium on Survival Analysis, pp. 255-294.

Gill RD, Robins JM (1997). Sequential Models for Coarsening and missingness. Proceedings of the First Seattle Symposium on Survival Analysis, pp. 295-305.

Robins JM (1997). Causal Inference from Complex Longitudinal Data. Latent Variable Modeling and Applications to Causality. Lecture Notes in Statistics (120), M. Berkane, Editor. NY: Springer Verlag, pp. 69-117.

Robins JM (1997). Non-response models for the analysis of non-monotone non-ignorable missing data. Statistics in Medicine, 16:21-37.

Robins JM (1997). Structural nested failure time models. In: Survival Analysis, P.K. Andersen and N. Keiding, Section Editors. The Encyclopedia of Biostatistics, P. Armitage and T. Colton, Editors. Chichester, UK: John Wiley & Sons, pp. 4372-4389.

Robins JM, Gill R (1997). Non-response models for the analysis of non-monotone ignorable missing data. Statistics in Medicine, 16:39-56.

Robins JM, Ritov Y (1997). Toward a curse of dimensionality appropriate (CODA) asymptotic theory for semi-parametric models. Statistics in Medicine, 16:285-319.

Robins JM, Wasserman L (1997). Estimation of Effects of Sequential Treatments by Reparameterizing Directed Acyclic Graphs. Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, Providence, RI, August 1-3, 1997. Geiger D., Shenoy P. (Eds.), Morgan Kaufmann, San Francisco, pp. 409-420.

Rotnitzky A, Robins JM (1997). Analysis of semiparametric regression models with non-ignorable non-response. Statistics in Medicine, 16:81-102.

Lin DY, Robins JM, Wei LJ (1996). Comparing two failure time distributions in the presence of dependent censoring. Biometrika, 83:381-393.

Robins JM (1996). Estimating the causal effect of a time-varying treatment on survival using structural nested failure time models. Statistica Nederlandica (in press).

Robins JM, Greenland S (1996). Comment on "Estimation of the global average treatment effects using instrumental variables" by Angrist, Imbens, and Rubin. Journal of the American Statistical Association, 91:456-458.

Robins JM, Greenland S (1996). Identification of Causal Effects Using Instrumental Variables: Comment. Journal of the American Statistical Association, 91:456-458

Pearl J, Robins JM (1995). Probabilistic evaluation of sequential plans from causal models with hidden variables. Uncertainty in Artificial Intelligence, Proceedings of the 11th Conference, pp. 444-453. Click here for a direct link or click here and go to Report Number R-219-U to view paper.

Robins JM (1995). An analytic method for randomized trials with informative censoring: Part I. Lifetime Data Analysis, 1:241-254.

Robins JM (1995). An analytic method for randomized trials with informative censoring: Part II. Lifetime Data Analysis, 1:417-434.

Robins JM (1995). Comments on Judea Pearl's paper, "Causal diagrams for empirical research". Biometrika, 82:695-698.

Robins JM, Rotnitzky A (1995). Semiparametric efficiency in multivariate regression models with missing data. Journal of the American Statistical Association, 90:122-129. Reproduced courtesy of the American Statistical Association.

Robins JM, Rotnitzky A, Zhao L-P (1995). Analysis of semiparametric regression models for repeated outcomes in the presence of missing data. Journal of the American Statistical Association, 90:106-121.

Rotnitzky A, Robins JM (1995). Semiparametric regression estimation in the presence of dependent censoring. Biometrika, 82:805-820.

Mittleman MA, Maclure M, Robins JM (1995). Control Sampling Strategies for Case-Crossover Studies: An Assessment of Relative Efficiency. American Journal of Epidemiology. 142(1):91-98.

Greenland S, Robins JM (1994). Invited commentary: Ecologic studies-biases, misconceptions, and counterexamples [comment]. American Journal of Epidemiology, 139:747-760; and Greenland S, Robins JM (1994). Accepting the limits of ecologic studies: Drs. Greenland and Robins reply to Drs. Piantadosi and Cohen. American Journal of Epidemiology, 139:769-771.

Robins JM (1994). Correcting for non-compliance in randomized trials using structural nested mean models. Communications in Statistics, 23:2379-2412.

Robins JM, Greenland S (1994). Adjusting for differential rates of PCP prophylaxis in high- versus low-dose AZT treatment arms in an AIDS randomized trial. Journal of the American Statistical Association, 89:737-749. Reproduced courtesy of the American Statistical Association.

Robins JM, Rotnitzky A, Zhao LP (1994). Estimation of regression coefficients when some regressors are not always observed. Journal of the American Statistical Association, 89:846-866. Reproduced courtesy of the American Statistical Association.

Mark SD, Robins JM (1993). Estimating the causal effect of smoking cessation in the presence of confounding factors using a rank preserving structural failure time model. Statistics in Medicine, 12:1605-1628.

Mark SD, Robins JM (1993). A method for the analysis of randomized trials with compliance information: An application to the multiple risk factor intervention trial. Controlled Clinical Trials. New York: Elsevier. 14:79-97.

Robins JM (1993).Analytic methods for estimating HIV treatment and cofactor effects. Methodological Issues of AIDS Mental Health Research. Eds: Ostrow DG, Kessler R. New York: Plenum Publishing. pp. 213-290. Reproduced with permission of Plenum Publishing.

Pugh M, Robins JM, Lipsitz S, Harrington D (1993). Inference in the Cox Proportional Hazards Model with Missing Covariates. Technical Report, Harvard School of Public Health, Department of Biostatistics.

Robins JM (1993). Information recovery and bias adjustment in proportional hazards regression analysis of randomized trials using surrogate markers. Proceedings of the Biopharmaceutical Section, American Statistical Association, pp. 24-33. Reproduced courtesy of the American Statistical Association.

Robins JM (1992). Estimation of the time-dependent accelerated failure time model in the presence of confounding factors. Biometrika, 79:321-34.

Robins JM, Blevins D, Ritter G, Wulfsohn M (1992). G-estimation of the effect of prophylaxis therapy for pneumocystis carinii pneumonia on the survival of AIDS patients. Epidemiology, 3:319-336. Please see also the following link for the Errata to the article: Robins JM, Blevins D, Ritter G., and Wulfsohn M. (1993). Errata. Epidemiology, 4:189. Reproduced with permission of the publisher, Lippincott, Williams and Wilkins.

Robins JM, Greenland S (1992). Identifiability and exchangeability for direct and indirect effects. Epidemiology, 3:143-155. Reproduced with permission of the publisher, Lippincott, Williams and Wilkins.

Robins JM, Mark SD, Newey WK (1992). Estimating exposure effects by modelling the expectation of exposure conditional on confounders. Biometrics, 48:479-495.

Robins JM, Rotnitzky A (1992). Recovery of information and adjustment for dependent censoring using surrogate markers. AIDS Epidemiology - Methodological Issues. Eds: Jewell N, Dietz K, Farewell V. Boston, MA: Birkhäuser. pp. 297-331.

Robins JM, Tsiatis AA (1992). Semiparametric estimation of an accelerated failure time model with time-dependent covariates. Biometrika, 79:311-319.

Robins JM, Tsiatis A (1991). Correcting for non-compliance in randomized trials using rank-preserving structural failure time models. Communications in Statistics, 20:2609-2631.

Robins JM, Greenland S (1991). Estimability and estimation of years of life lost due to a hazardous exposure. Statistics in Medicine, 10:79-93.

Robins JM, Prentice RL, Blevins D (1989). Designs for synthetic case-control studies in open cohorts. Biometrics. 45:1103-1116.

Robins JM, Blevins D (1989). The effective number of cigarettes inhaled by passive smokers: are epidemiologic and dosimetric methods consistent? Journal of Hazardous Materials. 21:215-238.

Robins JM (1989). The analysis of randomized and non-randomized AIDS treatment trials using a new approach to causal inference in longitudinal studies. Health Services Research Methodology: A Focus on AIDS. Eds: Sechrest L, Freeman H, Mulley A. Washington, D.C.: U.S. Public Health Service, National Center for Health Services Research., pp. 113-159. Errata.

Robins JM (1989). The control of confounding by intermediate variables. Statistics in Medicine, 8:679-701.

Robins JM, Greenland S (1989). Estimability and estimation of excess and etiologic fractions. Statistics in Medicine, 8:845-859.

Robins JM, Greenland S (1989). The probability of causation under a stochastic model for individual risk. Biometrics, 45:1125-1138.

Robins JM (1988). Confidence intervals for causal parameters. Statistics in Medicine, 7:773-785.

Robins JM, Morgenstern H (1987). The foundations of confounding in epidemiology. Computers and Mathematics with Applications, 14:869-916.

Robins JM (1987). A graphical approach to the identification and estimation of causal parameters in mortality studies with sustained exposure periods. Journal of Chronic Disease (40, Supplement), 2:139s-161s.

Robins JM (1986). A new approach to causal inference in mortality studies with sustained exposure periods - Application to control of the healthy worker survivor effect. Mathematical Modelling, 7:1393-1512. Errata Computers and Mathematics with Applications, 1987;14:917-921. Addendum Computers and Mathematics with Applications 1987;14:923-945. Errata to Addendum Computers and Mathematics with Applications 1987;18:477.

Robins JM, Gail M, Lubin J (1986). More on biased selection of controls for case-control analysis of cohort studies. Biometrics. 42:293-299.

Robins JM, Breslow N, Greenland S(1986). Estimators of the Mantel-Haenszel variance consistent in both sparse data and large-strata limiting models. Biometrics. 42:311-323.

Greenland S, Robins JM (1985). Estimation of a common effect parameter from sparse follow-up data. Biometrics. 41:55-68.

1. Robins JM, Wasserman L. (2002). Conditioning, likelihood, and coherence: A review of some foundational concepts. In:Statistics in the 21^st Century. Ed. By A.E. Raftery, M.A. Tanner, M.T. Wells. Boca Raton, FL: Chapman & Hall/CRC Press; Alexandria, VA: American Statistical Association, pp. 431-443.
2. Greenland S, Robins JM (2000). Epidemiology, justice, and the probability of causation. Jurimetrics, 40(3):321-340.
3. Robins JM (2000). Towards a formal theory of causation in ecologic and multi-level studies Journal of the Royal Statistical Society (in press).
4. Hubbard A, van der Laan MJ, Robins JM (1999). Nonparametric locally efficient estimation of the treatment specific survival distributions with right censored data and covariates in observational studies. In: Statistical Models in Epidemiology: The Environment and Clinical Trials. Halloran ME, Berry D, eds., IMA Volume 116, NY: Springer-Verlag, pp. 135-178.
5. Robins JM (1999). Discussion of "Quantifying surprise in the data and model verification" by Bayarri, M.J. and Berger, J.O. In: Bayesian Statistics 6. Eds. Bernardo, JM, Dawid, A.P., and Smith, A.F.M. Oxford, UK:Oxford University Press, pp. 67-70.
6. Garcia-Closas M, Thompson WD, Robins JM (1998). Differential misclassification and the assessment of gene-environment interactions in case-control studies. American Journal of Epidemiology 147: 426-433.
7. Robins JM (1997). Discussion of the Paper by Copas and Li. p. 89.
8. Holcroft CA, Rotnitzky A, Robins JM (1997). Efficient estimation of regression parameters from multistage studies with validation of outcome and covariates. J. Stat. Plann. Inf. (in press).
9. Robins JM (1996). Locally efficient median regression with random censoring and surrogate markers. Proceedings of the 1994 Conference on Lifetime Data Models in Reliability and Survival Analysis, Boston, MA. In: Lifetime Data: Models in Reliability and Survival Analysis, N.P. Jewell et al., Eds., Kluwer Academic Publishers, 263-274.
10. Robins JM (1996). Estimating the causal effect of a time-varying treatment on survival using structural nested failure time models. Statistica Nederlandica (in press).
11. Robins JM, Rotnitzky A (1996). Estimating regression coefficients in the presence of dependent censoring.Journal of the American Statistical Association - Theory and Methods (in press).
12. Robins JM, Hsieh F-S, Newey W (1995). Semiparametric efficient estimation of a conditional density with missing or mismeasured covariates. Journal of the Royal Statistical Society, B, 57:409-424.
13. Rotnitzky A, Robins JM (1995). Semi-parametric estimation of models for means and covariances in the presence of missing data. Scandinavian Journal of Statistics, 22:[323]-333.
14. Greenland S, Robins JM (1991). Empirical-Bayes adjustments for multiple comparisons are sometimes useful. Epidemiology, 2:244-251.
15. Robins JM (1991). Estimating regression coefficients in the presence of dependent censoring. Tentatively accepted, Journal of the American Statistical Association - Theory and Methods.
16. Lagakos S, Lim L, Robins JM (1990). Adjusting for early treatment termination in comparative clinical trials. Statistics in Medicine, 9:1417-1424.
17. Robins JM, Pike M (1990). The validity of case-control studies with nonrandom selection of controls. Epidemiology, (1)4:273-284.
18. Struchiner CJ, Halloran ME, Robins JM, Spielman A (1989). The behaviour of common measures of association used to access a vaccination program under complex disease transmission patterns - a computer simulation study of malaria vaccines. International Journal of Epidemiology, 19:187-196.
19. Greenland S, Robins JM (1988). Conceptual problems in the definition and interpretation of attributable fractions. American Journal of Epidemiology, 128:1185-1197.
20. Robins JM, Pambrun M, Chute C, Blevins D (1988). Estimating the effect of formaldehyde exposure on lung cancer and non-malignant respiratory disease (NMRD) mortality using a new method to control the healthy worker survivor effect. Progress in Occupational Epidemiology. Eds: C. Hogstedt C. and C. Reuterwall C. New York: Elsevier, pp. 75-79.
21. Robins JM, Blevins D (1987). Analysis of proportionate mortality data using logistic regression models. American Journal of Epidemiology, 125:524-535.
22. Robins JM, Cullen M, Welch LS (1987). Improved methods for discerning the health impacts of current technologies. Invited Paper, Council on Environmental Quality Conference on Human Health Impacts and Their Mitigation, Washington, DC, September 1984. Environmental Impacts on Human Health: An Agenda for Long Term Research and Development. Eds. Draggan S., et al. New York: Praeger Press, pp. 165-191.
23. Greenland S, Robins JM (1986). Identifiability, exchangeability and epidemiologic confounding. International Journal of Epidemiology, 15:413-419.
24. Robins JM (1986). Risk assessment: Exposure to environmental tobacco smoke and lung cancer. Environmental Tobacco Smoke. Washington, DC: National Academy of Sciences, pp. 294-337.
25. Robins JM, Greenland S (1986). The role of model selection in causal inference from non-experimental data. American Journal of Epidemiology, 123:392-502.
26. Robins JM, Greenland S, Breslow NE (1986). A general estimator for the variance of the Mantel-Haenszel odds ratio. American Journal of Epidemology, 124:719-723.
27. Swan SH, Robins JM (1986). Comment. Journal of the American Statistical Association, 81(395):604-609.
28. Robins JM, Landrigan PJ, Robins TG, and Fine LJ (1985). Decision-making under uncertainty in the setting of environmental health regulations. Journal of Public Health Policy, 6(3):322-328.

Papers submitted for publication and papers in preparation

29. Robins JM (2000). Robust estimation in sequentially ignorable missing data and causal inference models (submitted to Proceedings of the American Statistical Association).
30. Robins JM, Scheines R, Spirtes P, Wasserman L (1998). The limits of causal knowledge (in preparation).
31. Scharfstein DO, Robins JM (1998). Semiparametric bivariate location-shift model for failure time data in the presence of informative censoring (in preparation).
32. Gill RD, van der Laan MJ, Robins JM (1996). Locally efficient estimation in censored data models with high dimensional covariate vectors or time-dependent marker processes (submitted).
33. Rotnitzky A, Robins JM (1995). Semiparametric regression with follow-up of non-respondents (submitted to Journal of the American Statistical Association).
34. Hu F-C, Robins JM Using limit laws for Markov chains to estimate the causal effect of a time-varying exposure on a repeated binary outcome (submitted to Biometrics).