Publications by Discipline

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Epidemiology

VanderWeele, T.J. and Tchetgen Tchetgen, E.J. Alternative decompositions for attributing effects to interactions. Epidemiology, in press.

Jiang, Z., and VanderWeele, T.J. When is the difference method conservative for mediation? American Journal of Epidemiology, in press.

Jiang, Z., and VanderWeele, T.J. Additive interaction in the presence of a mismeasured outcome. American Journal of Epidemiology, in press.

Jiang, Z. and VanderWeele, T.J. Causal mediation analysis in the presence of a mismeasured outcome. Epidemiology, in press.

Valeri, L. and VanderWeele, T.J. SAS macro for causal mediation analysis with survival data. Epidemiology, in press.

VanderWeele, T.J. (2014). A unification of mediation and interaction: a four-way decomposition. Epidemiology, 25:749-761.

VanderWeele, T.J. and Knol, M.J. (2014). A tutorial on interaction. Epidemiologic Methods, 3:33-72.

VanderWeele, T.J. and Knol, M.J. (2014). Interactions and complexity: goals and limitations. Epidemiologic Methods, 3:79-81.

VanderWeele, T.J. (2014). Resolutions of the birthweight paradox: competing explanations and analytic insights. International Journal of Epidemiology, 43:1368-1373.

VanderWeele, T.J. and Tchetgen Tchetgen, E.J. (2014). Attributing effects to interactions. Epidemiology, 25:711-722.

VanderWeele, T.J. and Tchetgen Tchetgen, E.J. (2014). Interacting on interactions. Epidemiology, 25:727-728.

VanderWeele, T.J. and Chiba, Y. (2014). Sensitivity analysis for direct and indirect effects in the presence of exposure-induced mediator-outcome confounders. Epidemiology, Biostatistics, and Public Health, 11:e9027; 1-16.

VanderWeele, T.J. and Robinson, W. (2014). On the causal interpretation of race in regressions adjusting for confounding and mediating variables. Epidemiology, 25:473-484.

VanderWeele, T.J. and Robinson, W.R. (2014). How to reduce racial disparities? Upon what to intervene? Epidemiology, 25:491-493.

VanderWeele, T.J., Tchetgen Tchetgen E.J., Cornelis, M., and Kraft, P. (2014). Methodological challenges with Mendelian randomization analysis. Epidemiology, 25:427-435.

VanderWeele, T.J. and Vansteelandt, S. (2014). Some advantages of RERI - towards better estimators of additive interaction. American Journal of Epidemiology, 179:670-671.

VanderWeele, T.J., Vansteelandt, S., and Robins, J.M. (2014). Methods for effect decomposition in the presence of an exposure-induced mediator-outcome confounder. Epidemiology, 25:300-306.

Tchetgen Tchetgen, E.J. and VanderWeele, T.J. (2014). On identification of natural direct effects when a confounder of the mediator is directly affected by exposure. Epidemiology, 25:282-291.

Suzuki, E., Evans, D., Chaix, B., and VanderWeele T.J. (2014). On the "proportion eliminated" for risk differences versus excess relative risks. Epidemiology, 25:309-310.

Luque-Fernandez, M.A., Gelaye, B. VanderWeele, T.J., Ferre, C., Siega-Riz, A., Holzman, C., Enquobahrie, D., Dole, N., and Willams, M. (2014). Seasonal variation of 25-Hydroxyvitamin-D among non-Hispanic Black and White pregnant women from three U.S. pregnancy cohorts. Paediatric and Perinatal Epidemiology, 28:166-176.

Jackson, J.W., VanderWeele, T.J., Viswanathan, A., Blacker, D., and Schneeweiss, S. (2014). The explanatory role of incident stroke as a mediator of the mortality difference between older adults who initiate first vs. second generation antipsychotics. American Journal of Epidemiology, 180:847-852.

Joshi, A.D., Lindstrom, S., Husing, A., Barrdahl, M., VanderWeele, T.J. et al. on behalf of the Breast and Prostate Cancer Cohort Consortium (BPC3). (2014). Additive interactions between GWAS-identified susceptibility SNPs and breast cancer risk factors in the BPC3. American Journal of Epidemiology, 180:1018-1027.

Sauer, B.C., Brookhart, M.A., Roy, J., and VanderWeele, T.J. (2013). A review of covariate selection for nonexperimental comparative effectiveness research. Pharmacoepidemiology and Drug Safety, 22:1139-1145.

VanderWeele, T.J. and Vansteelandt, S. (2013). Mediation analysis with multiple mediators. Epidemiologic Methods, 2:95-115.

VanderWeele, T.J. (2013). Reconsidering the denominator of the attributable proportion for additive interaction. European Journal of Epidemiology, 28:779-784.

VanderWeele, T.J. Ko, Y-.A., and Mukherjee, B. (2013). Environmental confounding in gene-environment interaction studies. American Journal of Epidemiology, 178:144-152.

VanderWeele, T.J., Lauderdale, D.S. and Lantos, J.D. (2013). Medically induced preterm birth and the associations between prenatal care and infant mortality. Annals of Epidemiology, 23:435-440.

VanderWeele, T.J. (2013). A three-way decomposition of a total effect into direct, indirect, and interactive effects. Epidemiology, 24:224-232.

VanderWeele, T.J. (2013). Policy-relevant proportions for direct effects. Epidemiology, 24:175-176.

VanderWeele, T.J. (2013). Re: Religious service attendance and major depression: a case of reverse causality? American Journal of Epidemiology, 177:275-276.

VanderWeele, T.J. (2013). Unmeasured confounding and hazard scales: sensitivity analysis for total, direct and indirect effects. European Journal of Epidemiology, 28:113-117.

VanderWeele, T.J., Hawkley, L.C., and Cacioppo, J.T. (2012). On the reciprocal effects between loneliness and subjective well-being. American Journal of Epidemiology, 176:777-784.

VanderWeele, T.J. and Hernán, M.A. (2012). Results on differential and dependent measurement error of the exposure and the outcome using signed DAGs. American Journal of Epidemiology, 175:1303-1310.

VanderWeele, T.J. (2012). Assessing mechanistic interaction between coinfecting pathogens for diarrheal disease. American Journal of Epidemiology, 176:396-399.

VanderWeele, T.J. (2012). Structural equation modeling in epidemiologic analysis. American Journal of Epidemiology, 176:608-612.

VanderWeele, T.J. (2012). Confounding and effect modification: distribution and measure. Epidemiologic Methods, 1:55-82.

VanderWeele, T.J. (2012). Sample size and power calculations for additive interactions. Epidemiologic Methods, 1:159-188.

VanderWeele, T.J. (2012). Mediation analysis with multiple versions of the mediator. Epidemiology, 23:454-463.

VanderWeele, T.J., Valeri, L., and Ogburn, E.L. (2012). The role of misclassification and measurement error in mediation analyses. Epidemiology, 23:561-564.

VanderWeele, T.J. and Ogburn, E.L. (2012). Theorems, proofs, examples and rules in the practice of epidemiology. Epidemiology, 23:443-445.

VanderWeele, T.J., Tchetgen Tchetgen, E.J., and Halloran, M.E. (2012). Components of the indirect effect in vaccine trials: identification of contagion and infectiousness effects. Epidemiology, 23:751-761.

VanderWeele, T.J., Vandenbroucke, J.P., Tchetgen Tchetgen, E.J., and Robins, J.M. (2012). A mapping between interactions and interference: implications for vaccine trials. Epidemiology, 23:285-292.

VanderWeele, T.J., Mumford, S.L., and Schisterman, E.F. (2012). Conditioning on intermediates in perinatal epidemiology. Epidemiology 23:1-9.

VanderWeele, T.J., Mumford, S.L., and Schisterman, E.F. (2012). Choosing effect measures: "If I only had a...?" Epidemiology 23:13-14.

VanderWeele, T.J., Asomaning, K., Tchetgen Tchetgen, E.J., Han, Y., Spitz, M.R., Shete, S., Wu, X., Gaborieau, V., Wang, Y., McLaughlin, J., Hung, R.J., Brennan, P., Amos, C.I., Christiani, D.C. and Lin, X. (2012). Genetic variants on 15q25.1, smoking and lung cancer: an assessment of mediation and interaction. American Journal of Epidemiology, 175:1013-1020.

Pierce, B.L. and VanderWeele, T.J. (2012). The effect of non-differential measurement error on bias, precision, and power in Mendelian randomization studies. International Journal of Epidemiology, 41:1383-1393.

Ogburn, E.L. and VanderWeele, T.J. (2012). Analytic results on the bias due to nondifferential misclassification of a binary mediator. American Journal of Epidemiology, 176:555-561.

Knol, M.J. and VanderWeele, T.J. (2012). Guidelines for presenting analyses of effect modification and interaction. International Journal of Epidemiology, 41:514-520.

Ogburn, E.L. and VanderWeele, T.J. (2012). On the nondifferential misclassification of a binary confounder. Epidemiology, 23:433-439.

Nandi, A. Glymour, M.M., Kawachi, I. and VanderWeele, T.J. (2012). Using marginal structural models to estimate the direct effect of adverse childhood social conditions on onset of heart disease, diabetes and stroke. Epidemiology, 23:223-232.

Ozer, E.J., Fernald, L.C.H., Weber, A., Flynn, E., and VanderWeele, T.J. (2011). Does alleviating poverty affect mothers' depressive symptoms?: a quasi-experimental investigation of Mexico's Oportunidades Programme. International Journal of Epidemiology, 40:1565-1576.

Pierce, B.L., Ahsan, H., and VanderWeele, T.J. (2011). Power and instrument strength requirements for Mendelian randomization studies using multiple genetic variants. International Journal of Epidemiology, 40:740-752.

Knol, M.J. and VanderWeele, T.J. (2011). Recoding preventive exposures to get valid measures of interaction on an additive scale. European Journal of Epidemiology, 26:825-826.

Hernán, M.A. and VanderWeele, T.J. (2011). Compound treatments and transportability of causal inference. Epidemiology, 22:368-377.

Hafeman, D.M. and VanderWeele, T.J. (2011). Alternative assumptions for the identification of direct and indirect effects. Epidemiology, 22:753-764.

Ananth, C.V. and VanderWeele, T.J. (2011). Placental abruption and perinatal mortality with preterm delivery as a mediator: disentangling direct and indirect effects. American Journal of Epidemiology, 174:99-108.

Chiba, Y. and VanderWeele, T.J. (2011). A simple method for principal strata effects when the outcome has been truncated due to death. American Journal of Epidemiology, 173:745-751.

Mumford, S.L., Schisterman, E.F. and VanderWeele, T.J. (2011). Invited response: Dietary fiber, estradiol, and cholesterol. American Journal of Epidemiology, 173:160-161.

Mumford, S.L., Schisterman, E.F., Siega-Riz, A.M., Gaskins, A.J. and VanderWeele, T.J. (2011). Effect of dietary fiber intake on lipoprotein cholesterol levels independent of estradiol in healthy premenopausal women. American Journal of Epidemiology, 173:145-156.

Knol, M.J., VanderWeele, T.J., Groenwold, R.H.H., Klungel, O.H., Rovers, M.M., and Grobbee, D.E. (2011). Estimating measures of interaction on an additive scale for preventive exposures. European Journal of Epidemiology, 26:433-438.

VanderWeele, T.J. (2011). Subtleties of explanatory language: what is meant by "mediation"? European Journal of Epidemiology, 26:343-346.

VanderWeele, T.J. (2011). Sample size and power calculations for case-only interaction studies. Epidemiology, 22:873-874.

VanderWeele, T.J. (2011). Causal interactions in the proportional hazards model. Epidemiology, 22:713-717.

VanderWeele, T.J. (2011). Causal mediation analysis with survival data. Epidemiology, 22:582-585.

VanderWeele, T.J. (2011). A word and that to which it once referred: assessing "biologic" interaction. Epidemiology, 22:612-613.

VanderWeele, T.J. and Tchetgen Tchetgen, E.J. (2011). Bounding the infectiousness effect in vaccine trials. Epidemiology, 22:686-693.

VanderWeele, T.J. and Arah, O.A. (2011). Bias formulas for sensitivity analysis of unmeasured confounding for general outcomes, treatments and confounders. Epidemiology, 22:42-52.

VanderWeele, T.J. and Hernández-Diaz, S. (2011). Is there a direct effect of pre-eclampsia on cerebral palsy not through preterm birth? Paediatric and Perinatal Epidemiology, 25:111-115.

VanderWeele, T.J. and Vansteelandt, S. (2011). A weighting approach to causal effects and additive interaction in case-control studies: marginal structural linear odds models. American Journal of Epidemiology, 174:1197-1203.

VanderWeele, T.J. and Knol., M.J. (2011). Remarks on antagonism. American Journal of Epidemiology, 173:1140-1147.

VanderWeele, T.J. and Vansteelandt, S. (2010). Odds ratios for mediation analysis with a dichotomous outcome. American Journal of Epidemiology, 172:1339-1348.

VanderWeele, T.J. and Vansteelandt, S. (2010). Invited Response: Decomposing with a lot of supposing and mediation. American Journal of Epidemiology, 172:1339-1348.

VanderWeele, T.J., Vansteelandt, S. and Robins, J.M. (2010). Marginal structural models for sufficient cause interactions. American Journal of Epidemiology, 171:506-514.

VanderWeele, T.J., Hernández-Diaz, S. and Hernán, M.A. (2010). Case-only gene-environment interaction studies: when does association imply mechanistic interaction? Genetic Epidemiology, 34:327-334.

VanderWeele, T.J. (2010). Re: The ongoing tyranny of statistical significance testing in biomedical research. European Journal of Epidemiology, 25:843.

VanderWeele, T.J. (2010). Bias formulas for sensitivity analysis for direct and indirect effects. Epidemiology, 21:540-551.

VanderWeele, T.J. (2010). Response to "On the definition of effect modification," by E. Shahar and D.J. Shahar. Epidemiology, 21:587-588.

VanderWeele, T.J. (2009). Concerning the consistency assumption in causal inference. Epidemiology, 20:880-883.

VanderWeele, T.J. (2009). On the distinction between interaction and effect modification. Epidemiology, 20:863-871.

VanderWeele, T.J. (2009). On the relative nature of over-adjustment and unnecessary adjustment. Epidemiology, 20:496-499.

VanderWeele, T.J. (2009). Re: Epidemiology, data sharing, and the challenge of scientific replication. Epidemiology, 20:782-783.

VanderWeele, T.J. (2009). Marginal structural models for the estimation of direct and indirect effects. Epidemiology, 20:18-26.

VanderWeele, T.J. (2009). Sufficient cause interactions and statistical interactions. Epidemiology, 20:6-13.

VanderWeele, T.J. (2009). Mediation and mechanism. European Journal of Epidemiology, 24:217-224.

VanderWeele, T.J., Lantos, J.D., Siddique, J. and Lauderdale, D.S., (2009). A comparison of four prenatal care indices in birth outcome models: comparable results for predicting small-for-gestational-age outcome but different results for preterm birth or infant mortality. Journal of Clinical Epidemiology, 62:438-45.

Hudson, J.I., Javaras, K.N., Laird, N.M., VanderWeele, T.J., Pope, H.G. and Hernán, M.A. (2008). A structural approach to the familial coaggregation of disorders. Epidemiology, 19:431-439.

VanderWeele, T.J., Hernán, M.A. and Robins, J.M. (2008). Causal directed acyclic graphs and the direction of unmeasured confounding bias. Epidemiology, 19:720-728.

VanderWeele, T.J. and Robins, J.M. (2007). Directed acyclic graphs, sufficient causes and the properties of conditioning on a common effect. American Journal of Epidemiology, 166:1096-1104.

VanderWeele, T.J. and Robins, J.M. (2007). Four types of effect modification - a classification based on directed acyclic graphs. Epidemiology, 18:561-568.

VanderWeele, T.J. and Robins, J.M. (2007). The identification of synergism in the sufficient-component cause framework. Epidemiology, 18:329-339.

VanderWeele, T.J. and Hernán, M.A. (2006). From counterfactuals to sufficient component causes, and vice versa. European Journal of Epidemiology, 21:855-858.

Statistics

VanderWeele, T.J., Tchetgen Tchetgen E.J., and Halloran, M.E. Interference and sensitivity analysis. Statistical Science, in press.

Ogburn, E.L. and VanderWeele, T.J., Causal diagrams for interference and contagion. Statistical Science, in press.

Robins, J.M., VanderWeele, T.J., and Gill, R. A proof of Bell's inequality in quantum mechanics using causal interactions. Scandinavian Journal of Statistics, in press.

Ding, P. and VanderWeele, T.J. (2014). Generalized Cornfield conditions for the risk difference. Biometrika, 101:991-997.

Valeri, L., Lin, X., and VanderWeele, T.J. (2014). Mediation analysis when a continuous mediator is measured with error and the outcome follows a generalized linear model. Statistics in Medicine, 33:4875-4890.

Valeri, L. and VanderWeele, T.J. (2014). The estimation of direct and indirect causal effects in the presence of a misclassified binary mediator. Biostatistics, 15:498-512.

Huang, Y.-T., VanderWeele, T.J., and Lin, X. (2014). Joint analysis of SNP and gene expression data in genetic association studies of complex diseases. Annals of Applied Statistics, 8:352-376.

Jiang, Z., Chiba, Y. and VanderWeele, T.J. (2014). Monotone confounding, monotone treatment selection, and monotone treatment response. Journal of Causal Inference, 2:1-12.

VanderWeele, T.J. and Shpitser, I. (2013). On the definition of a confounder. Annals of Statistics, 41:196-220.

VanderWeele, T.J., Hong, G., Jones, S. and Brown, J. (2013). Mediation and spillover effects in group-randomized trials: a case study of the 4R's educational intervention. Journal of the American Statistical Association, 108:469-482.

VanderWeele, T.J. (2013). Surrogate measures and consistent surrogates (with Discussion). Biometrics, 69:561-681.

VanderWeele, T.J. and Hernán, M.A. (2013). Causal inference under multiple versions of treatment. Journal of Causal Inference, 1:1-20.

VanderWeele, T.J. (2013). Inference for influence over multiple degrees of separation on a social network. Statistics in Medicine, 32:591-596.

VanderWeele, T.J., and Emsley, R. (2013). Discussion of "Experimental design for identifying causal mechanisms. "Journal of the Royal Statistical Society, Series A, 176:46.

Ogburn, E.L. and VanderWeele, T.J. (2013). Bias attenuation results for nondifferentially mismeasured ordinal and coarsened confounders. Biometrika, 100:241-248.

Vansteelandt, S. and VanderWeele, T.J. (2012). Natural direct and indirect effects on the exposed: effect decomposition under weaker assumptions. Biometrics, 68:1019-1027.

Mukherjee, B., Ko, Y.A., VanderWeele, T.J., Roy, A., Park, S.K., Chen, J. (2012). Principal interactions analysis for repeated measures data: application to gene-gene, gene-environment interactions. Statistics in Medicine, 31:2531-2551.

Chen, J., Kang, G., VanderWeele, T.J., Zhang, C., Mukherjee, B. (2012). Efficient designs of gene-environment interaction studies: implications of Hardy-Weinberg equilibrium and gene-environment independence. Statistics in Medicine, 31:2516-2530.

Tchetgen Tchetgen, E.J. and VanderWeele, T.J. (2012). On causal inference in the presence of interference. Statistical Methods in Medical Research - Special Issue on Causal Inference, 21:55-75.

Vansteelandt, S., VanderWeele, T.J. and Robins, J.M. (2012). Semiparametric tests for sufficient cause interactions. Journal of the Royal Statistical Society, Series B, 74:223-244.

VanderWeele, T.J. and Richardson, T.S. (2012). General theory for interactions in sufficient cause models with dichotomous exposures. Annals of Statistics, 40:2128-2161.

VanderWeele, T.J. (2012). Inference for additive interaction under exposure misclassification. Biometrika, 99:502-508.

VanderWeele, T.J. and Tan, Z. (2012). Directed acyclic graphs with edge-specific bounds. Biometrika, 99:115-126.

VanderWeele, T.J. and Robins, J.M. (2012). Stochastic counterfactuals and stochastic sufficient causes. Statistica Sinica, 22:379-392.

VanderWeele, T.J., Mukherjee, B. and Chen, J. (2012). Sensitivity analysis for interactions under unmeasured confounding. Statistics in Medicine, 31:2552-2564.

VanderWeele, T.J. and Hernán, M.A. (2012). Causal effects and natural laws: towards a conceptualization of causal counterfactuals for non-manipulable exposures with application to the effects of race and sex. Causal Inference: Statistical Perspectives and Applications, (C. Berzuini, P. Dawid and L. Bernardinelli, eds.). Wiley and Sons., p. 101-113.

VanderWeele, T.J. (2012). The sufficient cause framework in statistics, philosophy and the biomedical and social sciences. Causal Inference: Statistical Perspectives and Applications, (C. Berzuini, P. Dawid and L. Bernardinelli, eds.). Wiley and Sons., p. 180-191.

VanderWeele, T.J. (2011). Controlled direct and mediated effects: definition, identification and bounds. Scandinavian Journal of Statistics, 38:551-563.

VanderWeele, T.J. and Shpitser, I. (2011). A new criterion for confounder selection. Biometrics, 67:1406-1413.

VanderWeele, T.J., Chen, Y. and Ahsan, H. (2011). Inference for causal interactions for continuous exposures under dichotomization. Biometrics, 67:1414-1421.

VanderWeele, T.J. and Tchetgen Tchetgen, E.J. (2011). Effect partitioning under interference for two-stage randomized vaccine trials. Statistics and Probability Letters, 81:861-869.

VanderWeele, T.J. (2011). Review of "Causality," 2nd Edition, by Judea Pearl. Journal of the Royal Statistical Society, Series A, 174:243-244.

VanderWeele, T.J. (2011). Principal stratification: uses and limitations. International Journal of Biostatistics, 7, Article 28:1-14.

Shpitser, I. and VanderWeele, T.J. (2011). A complete graphical criterion for the adjustment formula in mediation analysis. International Journal of Biostatistics, 7, Article 16:1-24.

VanderWeele, T.J. (2010). Attributable fractions for sufficient cause interactions. International Journal of Biostatistics (Special Issue for the Proceedings of the BIRS Workshop on Causal Inference in Statistics and the Quantitative Sciences), 10(2), Article 5:1-26.

VanderWeele, T.J. (2010). Epistatic interactions. Statistical Applications in Genetics and Molecular Biology, 9, Article 1:1-22.

VanderWeele, T.J. (2010). Sufficient cause interactions for categorical and ordinal exposures with three levels. Biometrika, 97:647-659.

VanderWeele, T.J. and Robins, J.M. (2010). Signed directed acyclic graphs for causal inference. Journal of the Royal Statistical Society, Series B, 72:111-127.

Shpitser, I., VanderWeele, T.J. and Robins, J.M. (2010). On the validity of covariate adjustment for estimating causal effects. Proceedings of the 26th Conference on Uncertainty and Artificial Intelligence, 527-536, AUAI Press: Corvallis, WA.

VanderWeele, T.J. and Robins, J.M. (2009). The properties of monotonic effects on directed acyclic graphs. Journal of Machine Learning Research - Special Topic on Causality, 10:699-718.

VanderWeele, T.J. and Robins, J.M. (2009). Minimal sufficient causation and directed acyclic graphs. Annals of Statistics, 37:1437-1465.

VanderWeele, T.J. (2009). An extension of some instrumental variable results of Zhiqiang Tan. Supplemental material for: Journal of the American Statistical Association, 104:427.

VanderWeele, T.J. (2009). Review of "Counterfactuals and Causal Inference" by S.L. Morgan and C. Winship. Journal of the American Statistical Association, 104:1715-1716.

VanderWeele, T.J. (2009). Review of "Introduction to Statistical Mediation Analysis" by David P. MacKinnon. Biometrics, 65:998-1000.

VanderWeele, T.J. and Vansteelandt, S. (2009). Conceptual issues concerning mediation, interventions and composition. Statistics and Its Interface (Special Issue on Mental Health and Social Behavioral Science) 2:457-468.

Vansteelandt, S., VanderWeele, T.J., Tchetgen, E.J., Robins, J.M., (2008). Multiply robust inference for statistical interactions. Journal of the American Statistical Association, 103:1693-1704.

VanderWeele, T.J. (2008). Discussion of "Sampling bias and logistic models" by P. McCullagh. Journal of the Royal Statistical Society, Series B, 70:673-674.

VanderWeele, T.J. (2008). Simple relations between principal stratification and direct and indirect effects. Statistics and Probability Letters, 78:2957-2962.

VanderWeele, T.J. (2008). The sign of the bias of unmeasured confounding. Biometrics, 64:702-706.

VanderWeele, T.J. (2008). Sensitivity analysis: distributional assumptions and confounding assumptions. Biometrics, 64:645-649.

VanderWeele, T.J. and Robins, J.M. (2008). Empirical and counterfactual conditions for sufficient cause interactions. Biometrika, 95:49-61.

VanderWeele, T.J. (2008). Ignorability and stability assumptions in neighborhood effects research. Statistics in Medicine, 27:1934-1943.

Robins, J.M., VanderWeele, T.J. and Richardson, T.S. (2006). Comment on: "Causal effects in the presence of non compliance: a latent variable interpretation" by A. Forcina. Metron International Journal of Statistics, 64:288-298.

Medicine, Health and Genetics

Wu, F., Jasmine, F., Kibriya, M.G., Liu, M., Cheng, X., Parvez, F., Islam, T., Ahmed, A., Rakibuz-Zaman, M., Jiang, J., Roy, S., Paul-Brutus, R., Slavkovich, V., Islam, T., Levy, D., VanderWeele, T.J., Pierce, B.L., Graziano, J.H., Ahsan, H.A., and Chen, Y., Interaction between arsenic exposure from drinking water and genetic susceptibility in cardiovascular disease risk in Bangladesh. Environemtnal Health Perspectives, in press.

Wang, P., Fang, M., Wang, X., and VanderWeele, T.J. Levels of satisfaction and factors influencing satisfaction for medical premarital examinations in Hubei Middle China. Asia Pacific Journal of Public Health, in press.

Zollfrank, A.A., Trevino, K.M., Cadge, W., Balboni, M.J., Thiel, M.M., Fitchett, G., Gallivan, K., VanderWeele, T.J., and Balboni, T.A. Teaching healthcare providers to provide spiritual care: a pilot study. Journal of Palliative Medicine, in press.

Epstein-Peterson, Z.D., Sullivan, A.J., Enzinger, A.C., Trevino, K.M., Zollfrank, A.A., Balboni, M.J., VanderWeele, T.J., Balboni, T.A. Examining forms of spiritual care provided in the advanced cancer setting. American Journal of Hospice and Palliative Medicine, in press.

Balboni, M.J., Sullivan, A., Enzinger, A.C., Epstein-Petersen, Z., Tseng, Y., Mitchell, C., Niska, B.A., Zollfrank, A., VanderWeele, T.J., and Balboni, T. (2014). Nurse and physician barriers to spiritual care provision at the end of life. Journal of Pain and Symptom Management, 48:400-410.

Jackson, J.W., Schneeweiss, S., VanderWeele, T.J., and Blacker, D. (2014). Quantifying the causal pathways to mortality among older adults treated with antipsychotic medications: a systematic review. PLoS One, 9(8):e105376.

Taylor, A.E., Davies, N.M., Ware, J.J., VanderWeele, T.J., Davey Smith, G., and Munafo, M.R. (2014). Mendelian randomization in health research: using appropriate genetic variants and avoiding biased estimates. Economics and Human Biology, 13:99-106.

Yuan, C., Lv, J., and VanderWeele, T.J. (2013). A randomized cluster-assignment design for interference: an assessment of health behavior peer effects in Peking University dormitories. PLoS One, 8:e75009.

Wang, P., Wang, X., Fang, M., and VanderWeele, T.J. (2013). Factors influencing the decision to participate in medical premarital examinations in Hubei Province, Mid-China. BMC Public Health, 13:217.

Balboni, T.A., Balboni, M.J., Enzinger, A.C., Gallivan, K., Paulk, M.E.,Wright, A., Steinhauser, K.,VanderWeele, T.J., and Prigerson, H.G. (2013). Provision of spiritual support to advanced cancer patients by religious communities and associations with medical care at the end of life. JAMA Internal Medicine, 73:1109-1117.

Balboni, M.J., Sullivan, A., Amobi, A., Phelps, A.C., Gorman, D., Zollfrank, A., Peteet, J.R., Prigerson, H.G., VanderWeele, T.J. and Balboni, T.A. (2013). Why is spiritual care infrequent at the end of life? Spiritual care perceptions among patients, nurses, and physicians and the role of training. Journal of Clinical Oncology, 30:2538-2544.

Phelps, A.C., Lauderdale, K.E., Alcorn, S., Dillinger, J., Balboni, M.T., Van Wert, M., VanderWeele, T.J., and Balboni, T.A. (2012). Addressing spirituality within the care of patients at the end of life: perspectives of advanced cancer patients, oncologists, and oncology nurses. Journal of Clinical Oncology, 30:2538-2544.

Vallurupalli, M., Lauderdale, K., Balboni, M.J., Prigerson, H.G., Phelps, A.C., VanderWeele, T.J., and Balboni, T.A. (2012). The role of spirituality and religious coping in the quality of life of patients receiving palliative radiation therapy. Journal of Supportive Oncology, 10:81-87.

Song, Y., Yeung, E., Liu, A., VanderWeele, T.J., Chen, L., Lu, C., Liu, C., Schisterman, E.F., Ning, Y. and Zhang, C. (2012). Pancreatic beta-cell function and type 2 diabetes risk: quantify the causal effect using a Mendelian randomization approach based on meta-analyses. Human Molecular Genetics, 21:5010-5018.

VanderWeele, T.J., Adami, H.O., and Tamimi, R.M. (2012). Mammographic density as a mediator of breast cancer risk: analytic approaches. Breast Cancer Research, 14:317.

VanderWeele, T.J., Lantos, J.D. and Lauderdale, D.S. (2012). Rising preterm birth rates, 1989-2004: changing demographics or changing obstetric practice? Social Science and Medicine, 74:196-201.

Siddique, J., Lauderdale, D.S., VanderWeele, T.J. and Lantos, J.D. (2012). Screening tests during prenatal care: does practice follow the evidence? Maternal and Child Health Journal, 16:51-59.

Balboni, T.A., Balboni, M.J., Phelps, A.C., Wright, A.A., Peteet, J.R., Block, S.D., Lathan, C. VanderWeele, T.J., and Prigerson, H.G. (2011). Support of terminal cancer patient spiritual needs and associations with medical care costs at the end of life. Cancer, 117:5383-5391

Winkelman, W.D., Lauderdale, K., Balboni, M.J., Phelps, A.C., Block, S.D., VanderWeele, T.J., and Balboni, T.A. (2011). The relationship of spiritual concerns to the quality of life of advanced cancer patients. Journal of Palliative Medicine, 14:1022-1028.

Balboni, M.J., Babar, A., Dillinger, J., Phelps, A.C., George, E., Block, S.D., Kachnic, L., Hunt, J., Peteet, J., Prigerson, H.G., VanderWeele, T.J., and Balboni, T.A. (2011). "It depends": "Viewpoints of patients, physicians and nurses on patient-practitioner prayer in the setting of advanced cancer. Journal of Pain and Symptom Management, 41:836-847.

VanderWeele, T.J. and Laird, N.M. (2011). Tests for compositional epistasis under single interaction-parameter models. Annals of Human Genetics, Special Issue on Epistasis, 75:146-156.

VanderWeele, T.J. and Knol, M.J. (2011). The interpretation of subgroup analyses in randomized trials: heterogeneity versus secondary interventions. Annals of Internal Medicine, 154:680-683.

Lauderdale, D.S., VanderWeele, T.J., Siddique, J. and Lantos, J.D. (2010). Prenatal care utilization in excess of recommended levels: trends from 1985-2004. Medical Care Research and Reviews, 67:609-622.

VanderWeele, T.J. (2010). Empirical tests for compositional epistasis. Nature Reviews Genetics, 11:166.

VanderWeele, T.J. (2010). Genetic self-knowledge and the future of epidemiologic confounding. American Journal of Human Genetics, 87(2):168-172.

Sadowski, L.S., Kee, R., VanderWeele, T.J. and Buchanan, D. (2009). Effect of a housing and case management program on emergency department visits and hospitalizations among chronically ill homeless adults: a randomized trial. Journal of the American Medical Association, 301:1771-1778.

Siddique, J., Lauderdale, D.S., VanderWeele, T.J. and Lantos, J.D. (2009). Trends in prenatal ultrasound use in the United States: 1995-2006. Medical Care, 47:1129-1135.

VanderWeele, T.J. (2009). Conditional independence. In Kattan M.W., ed. Encyclopedia of Medical Decision Making. Thousand Oaks, CA: Sage Publications.

Evans, A.T., Sadowski, L.S., VanderWeele, T.J., Curtis, L.M., Sharp, L.K., Kee, R.A., Grammer, L.C., Lyttle, C.S., Weiss, K.B., Shannon, J.J., for the CHIRAH Study Group. (2009). Ethnic disparities in asthma morbidity in Chicago. Journal of Asthma, 46:448-454.

Ramchandani, S.R., Panjabi, M.M., Cripton, P.A. and VanderWeele, T.J. (2008). Biomechanical examination of intervertebral discs subsequent to burst fracture. Journal of Musculoskeletal Research, 11(3):1-10.

VanderWeele, T.J. (2006). The use of propensity score methods in psychiatric research. International Journal of Methods in Psychiatric Research, 15:95-103.

Social Sciences

Cacioppo, J.T., Cacioppo, S., Gonzaga, G., Ogburn, E.L., and VanderWeele, T.J. (2013). Marital satisfaction and break-ups differ across on-line and off-line meeting venues. Proceedings of the National Academy of Sciences, 110:10135-10140.

Valeri, L. and VanderWeele, T.J. (2013). Mediation analysis allowing for exposure-mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macros. Psychological Methods, 18:137-150.

VanderWeele, T.J. and An, W. (2013). Social networks and causal inference. Handbook of Causal Analysis for Social Research, S.L. Morgan (ed.). Springer, Chapter 17, p. 353-374.

VanderWeele, T.J. (2012). Should principal stratification be used to study mediational processes? Journal of Research on Educational Effectiveness, 5:245-249.

VanderWeele, T.J., Ogburn, E.L. and Tchetgen Tchetgen, E.J. (2012). Why and when "flawed" social network analyses still yield valid tests of no contagion. Statistics, Politics, and Policy, 3, Article 4:1-11.

VanderWeele, T.J. and Staudt, N.C. (2011). Causal diagrams for empirical legal research: methodology for identifying causation, avoiding bias, and interpreting results. Law, Probability and Risk, 10:329-354.

VanderWeele, T.J., Hawkley, L.C., Thisted, R.A. and Cacioppo, J.T. (2011). A marginal structural model for loneliness: implications for intervention trials and clinical practice. Journal of Consulting and Clinical Psychology, 79:225-235.

VanderWeele, T.J. (2011). Sensitivity analysis for contagion effects in social networks. Sociological Methods and Research, 40:240-255.

Wang, P. and VanderWeele, T.J. (2011). Empirical research on the factors related to the subjective well-being of Chinese urban residents. Social Indicators Research, 101:447-459.

VanderWeele, T.J. (2010). Direct and indirect effects for neighborhood-based clustered and longitudinal data. Sociological Methods and Research, 38:515-544.

VanderWeele, K.D. and VanderWeele, T.J. (2010). A case for lending to the smallest and youngest micro-enterprises. Empirical Economics Letters, 9:215-222.

Staudt, N.C. and VanderWeele, T.J. (2009). Methodological advances and empirical legal scholarship: a note on Cox and Miles' Voting Rights Act study. Columbia Law Review Sidebar, 109:42-54.

VanderWeele, K.D. and VanderWeele, T.J. (2007). Micro-finance impact assessment: Evidence from a development program in Honduras. Savings and Development, 2:161-192.

VanderWeele, T.J. (2007). The volatility effects of non-trading for stock market returns. Applied Financial Economics, 17:1037-1041.

Philosophy and Theology

VanderWeele, T.J. (2009). Criteria for the characterization of token causation. Logic and Philosophy of Science, 7:115-127.

VanderWeele, T.J. (2008). Some observations concerning the chiastic structure of the Gospel of Matthew. Journal of Theological Studies, 59:669-673.

Copies

Copies of papers are available upon request.

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