Authors' reply: Letter to the Editor: Comparison of statistical approaches dealing with time-dependent confounding in drug effectiveness studies (SMMR, Vol 27, Issue 6, 2018)
Can we train machine learning methods to outperform the high-dimensional propensity score algorithm?
Comparison of statistical approaches dealing with time-dependent confounding in drug effectiveness studies
Guidance for Practitioners on the Choices of Software Implementation for Frailty Models: Simulations and An Application in Determining the Birth Interval Dynamics
Estimating inverse probability weights using super learner when weight-model specification is unknown in a marginal structural Cox model context
On the application of statistical learning approaches to construct inverse probability weights in marginal structural cox models: hedging against weight-model misspecification
Comparison of statistical approaches for dealing with immortal time bias in drug effectiveness studies
Hypothesis testing for an exposure--disease association in case--control studies under nondifferential exposure misclassification in the presence of validation data: Bayesian and frequentist adjustments