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@@ -35,9 +35,9 @@ simmsm(subjects = 2500, tpoints = 10, psi = 0.3, n = 5)
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| *n* | Number of simulated datasets an user wants to generate: |
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### Author
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* Ehsan Karim (R porting from SAS)
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* Ehsan Karim :octocat: (R porting from SAS)
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### Original Paper
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### Original Papers
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- [x] Young J.G., Hernan M.A., Picciotto S., and Robins J.M. [Relation between three classes of structural models for the effect of a time-varying exposure on survival](http://link.springer.com/article/10.1007/s10985-009-9135-3). Lifetime Data Analysis, 16(1):71-84, 2010.
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- [ ] Young, Jessica G., et al. Simulation from structural survival models under complex time-varying data structures. JSM proceedings, section on statistics in epidemiology. American Statistical Association, Denver, CO (2008)
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- [ ] Xiao Y., Abrahamowicz M., and Moodie E.E.M. [Accuracy of conventional and marginal structural Cox model estimators: A simulation study](http://www.degruyter.com/view/j/ijb.2010.6.2/ijb.2010.6.2.1208/ijb.2010.6.2.1208.xml?format=INT). The International Journal of Biostatistics, 6(2):1–28, 2010.
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- [ ] Karim, M. E.; Petkau, J.; Gustafson, P.; Platt, R.; Tremlett, H. and BeAMS study group. [Comparison of Statistical Approaches Dealing with Time-dependent Confounding in Drug Effectiveness Studies](http://smm.sagepub.com/content/early/2016/09/21/0962280216668554.abstract). Statistical Methods in Medical Research. First published online: September 21. doi: 10.1177/0962280216668554
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- [ ] Karim, M. E.; Petkau, J.; Gustafson, P.; Tremlett, H. and BeAMS study group. [On the application of statistical learning approaches to construct inverse probability weights in marginal structural Cox models: hedging against weight-model misspecification](http://www.tandfonline.com/toc/lssp20/current). Communications in Statistics - Simulation and Computation (In Press).
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### Related web-Apps
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- [ ] [Causal Inference Web-Apps](http://www.ehsankarim.com/software/webapps)

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