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- Stratified exact tests for the weak causal null hypothesis in randomized trials with a binary outcome. Biometrical Journal 2017. 59:986-997 .
- A note on exact confidence interval for causal effects on a binary outcome in randomized trials. Statistics in Medicine 2016. 35:1739-1741 .
- Causal Inference in Randomized Trials: A Shift from the Sharp Causal Null Hypothesis to the Weak Causal Null Hypothesis. Journal of Biometrics and Biostatistics 2016. 7:NA-NA .
- A principal stratification approach for evaluating natural direct and indirect effects in the presence of treatment-induced intermediate confounding. Statistics in Medicine 2015. 34:131-144 .
- Exact Tests for the Weak Causal Null Hypothesis on a Binary Outcome in Randomized Trials. Journal of Biometrics and Biostatistics 2015. 6:NA-NA .
- Application of the mediation analysis approach to cancer prevention trials relating to Cancer severity. American Journal of Biostatistics 2014. 4:45-51 .
- A Simple Method of Measuring Vaccine Effects on Infectiousness and Contagion. Open Journal of Statistics 2013. 3:7-15 .
- Instruments and Bounds for Causal Effects under the Monotonic Selection Assumption. The International Journal of Biostatistics 2012. 8:N/A-N/A .
- Estimation and sensitivity analysis of the survivor average causal effect under the monotonicity assumption. Journal of Biometrics and Biostatistics 2012. 3:NA-NA .
- Monte-Carlo Sensitivity Analysis for Controlled Direct Effects Using Marginal Structural Models in the Presence of Confounded Mediators. Communications in Statistics: Theory and Methods 2012. 41:1739-1749 .
- Bounds on the complier average causal effect in randomized trials with noncompliance. Statistics & Probability Letters 2012. 82:1352-1357 .
- A simple method for sensitivity analysis of unmeasured confounding. Journal of Biometrics and Biostatistics 2012. 3:NA-NA .
- A note on bounds for the causal infectiousness effect in vaccine trials. Statistics & Probability Letters 2012. 82:1422-1429 .
- Simple Formulae for Evaluating the Potential Impact of Confounding Bias. Communications in Statistics: Theory and Methods 2011. 40:4278-4288 .
- Marginal structural models for estimating principal stratum direct effects under the monotonicity assumption. Biometrical Journal 2011. 53:- .
- On the identification of the survivor average causal effect. Journal of Biometrics and Biostatistics 2011. 2:NA-NA .
- An approach for estimating causal effects in randomized trials with noncompliance. Communications in Statistics: Theory and Methods 2010. 39:2146-2156 .
- Estimating the principal stratum direct effect when the total effects are consistent between two standard populations. Statistics & Probability Letters 2010. 80:958-961 .
- Bounds on controlled direct effects under monotonic assumptions about mediators and confounders. Biometrical Journal 2010. 52:628-637 .
- Bias analysis for the principal stratum direct effect in the presence of confounded intermediate variables. Journal of Biometrics and Biostatistics 2010. 1:NA-NA .
- The sign of the unmeasured confounding bias under various standard populations. Biometrical Journal 2009. 51:670-676 .
- Bounds on causal effects in randomized trials with noncompliance under monotonicity assumptions about covariates. Statistics in Medicine 2009. 28:3249-3259 .
- Sensitivity analysis of unmeasured confounding for the causal risk ratio by applying marginal structural models. Communications in Statistics: Theory and Methods 2009. 39:65-76 .
- Bounds on potential risks and causal risk differences under assumptions about confounding parameters. Statistics in Medicine 2007. 26:5125-5135 .
- A simulation study for a linear measurement error model when error variances vary between measurements. Journal of Agricultural, Biological and Environmental Statistics 2005. 10:118-130 .