Publications and submitted papers

Lee, K., Small, D. S., and Dominici, F. (2018). Discovering heterogeneous exposure effects using randomization inference in air pollution studies. Revision invited. [arXiv]

Lee, K., Bhattacharya, B. B., Qin, J. and Small, D. S. (2018). Nonparametric inference for treatment effects in instrumental variable models. Revision invited[arXiv]

Heo, S., Nori-Sarma, A., Lee., K., Benmarhnia, T., Dominici, F., and Bell, M. L. (2019). The use of a quasi-experimental study on the mortality effect of a heat wave warning system in South Korea. International Journal of Environmental Research and Public Health, 16(12), 2245. [paper]

Lee, K., Lorch, S. A., and Small, D. S. (2019). Sensitivity analyses for average treatment effects when outcome is censored by death in instrumental variable models. Statistics in Medicine, 38(13), 2303-2316[arXiv, paper]

Lee, K. and Small, D. S. (2019). Estimating the malaria attributable fever fraction accounting for fever killing parasites and measurement error. Journal of the American Statistical Association, 114(525), 79-92[arXiv, paper]

Billig, E. B., Lee, K., Roy, J. A., Small, D. S., Ross, M. E., Castillo-Neyra, R. and Levy. M. Z. (2018). Risk maps for cities: Incorporating streets into geostatistical models. Spatial and Spatio-temporal Epidemiology, 27, 47-59. [paper]

Lee, K., Small, D. S. and Rosenbaum, P. R. (2018). A powerful approach to the study of moderate effect modi fication in observational studies. Biometrics, 74(4), 1161-1170[arXiv, paper]

Lee, K., Small, D. S., Hsu, J. Y., Silber, J. H., and Rosenbaum, P. R. (2018). Discovering effect modification in an observational study of surgical mortality at hospitals with superior nursing. Journal of the Royal Statistical Society, Series A,  181(2), 535-546. [arXiv, paper]

Papers in preparation

Lee, K. and Zubizarreta, J. R. Inference for overlapping matched samples: Methods and applications. 

Lee, K. and Dominici, F. Causal rule ensemble: Inference of heterogeneous treatment effects in observational studies.

 

Lee, K. and Dominici, F. Recall bias in case-control studies.  

Lee, K. and Dominici, F. Sensitivity analysis for recall and unmeasured confounding biases in matched case-control studies. 

Lee, K. and Bhattacharya, B. B. and Small, D. S. A nonparametric likelihood approach to two-component mixture models. 

Fogarty C. B., Lee, K., and Keele, L. Sensitivity analysis in matched instrumental variable observational studies.