| Richardson, Thomas S; Robins, James M; Wang, Linbo (2018) Discussion of ""Data-driven confounder selection via Markov and Bayesian networks"" by Häggström. Biometrics 74:403-406 |
| Wang, Linbo; Richardson, Thomas S; Zhou, Xiao-Hua (2017) Causal analysis of ordinal treatments and binary outcomes under truncation by death. J R Stat Soc Series B Stat Methodol 79:719-735 |
| Evans, R J; Forcina, A (2013) Two algorithms for fitting constrained marginal models. Comput Stat Data Anal 66:1-7 |
| Evans, Robin J; Richardson, Thomas S (2013) Marginal log-linear parameters for graphical Markov models. J R Stat Soc Series B Stat Methodol 75:743-768 |
| Moodie, Erica E M; Richardson, Thomas S (2009) Estimating Optimal Dynamic Regimes: Correcting Bias under the Null: [Optimal dynamic regimes: bias correction]. Scand Stat Theory Appl 37:126-146 |
| Page, John H; Rotnitzky, Andrea (2009) Estimation of the disease-specific diagnostic marker distribution under verification bias. Comput Stat Data Anal 53:707-717 |
| Shardell, Michelle; Scharfstein, Daniel O; Vlahov, David et al. (2008) Inference for cumulative incidence functions with informatively coarsened discrete event-time data. Stat Med 27:5861-79 |
| Moodie, Erica E M; Richardson, Thomas S; Stephens, David A (2007) Demystifying optimal dynamic treatment regimes. Biometrics 63:447-55 |
| Scharfstein, Daniel O; Halloran, M Elizabeth; Chu, Haitao et al. (2006) On estimation of vaccine efficacy using validation samples with selection bias. Biostatistics 7:615-29 |
| Hernan, Miguel A; Lanoy, Emilie; Costagliola, Dominique et al. (2006) Comparison of dynamic treatment regimes via inverse probability weighting. Basic Clin Pharmacol Toxicol 98:237-42 |
Showing the most recent 10 out of 25 publications
