Lee, S. & Lee, MJ, forthcoming, `Difference in differences, ratio in ratios, and ratio in odds ratios for limited dependent variables: a review and more', Studies in Nonlinear Dynamics and Econometrics.
Lee, MJ & Lee, S 2022, `Review and comparison of treatment effect estimators using propensity and prognostic Scores', International Journal of Biostatistics.
Lee, S & Gørgens, T 2022, `Using maximum simulated likelihood methods to overcome left censoring: Dynamic event history models of heart attack risk in New Zealand', Journal of the Royal Statistical Society (Series A), vol. 185, no. 1, pp. 348--376.
Lee, S & Gørgens, T 2021, `Estimation of dynamic models of recurent events with censored data', Econometrics Journal, vol. 24, no. 2, pp. 199--224.
Lee, MJ & Lee, S 2019, `Double robustness without weighting', Statistics & Probability Letters, vol. 145, pp. 175--180.
Lee, MJ, & Lee, S 2011, `Likelihood-based estimators for endogenous or truncated samples in standard stratified sampling', in DM Drukker (ed.), Advances in Econometrics, vol. 27, Part 1, pp. 63--91.
Lee, MJ & Lee, S, 'Overlap-Weight Estimators with Machine-Learned Plug-Ins and Overlap-Weight Targeted Maximum Likelihood Estimator', Revise & Resubmit at Biometrical Journal.