The following pages link to Stijn Vansteelandt (Q252827):
Displaying 32 items.
- (Q5325826) (← links)
- Bias-Reduced Doubly Robust Estimation (Q5367416) (← links)
- On adjustment for auxiliary covariates in additive hazard models for the analysis of randomized experiments (Q5410325) (← links)
- Multiply Robust Inference for Statistical Interactions (Q5414041) (← links)
- Structural mean models for compliance analysis in randomized clinical trials and the impact of errors on measures of exposure (Q5424964) (← links)
- Structural mean models for compliance analysis in randomized clinical trials and the impact of errors on measures of exposure (Q5442626) (← links)
- (Q5701070) (← links)
- Semiparametric Tests for Sufficient Cause Interaction (Q5743135) (← links)
- A Statistical Test to Reject the Structural interpretation of a Latent Factor Model (Q6044102) (← links)
- Doubly robust tests of exposure effects under high‐dimensional confounding (Q6047756) (← links)
- Nonlinear mediation analysis with high‐dimensional mediators whose causal structure is unknown (Q6055527) (← links)
- Simulating longitudinal data from marginal structural models using the additive hazard model (Q6064197) (← links)
- Instrumental Variable Estimation of the Causal Hazard Ratio (Q6079729) (← links)
- Rejoinder to Discussions on “Instrumental Variable Estimation of the Causal Hazard Ratio” (Q6079736) (← links)
- Efficient, doubly robust estimation of the effect of dose switching for switchers in a randomized clinical trial (Q6085903) (← links)
- Ensuring valid inference for Cox hazard ratios after variable selection (Q6589253) (← links)
- Within-subject mediation analysis in \(AB/BA\) crossover designs (Q6593497) (← links)
- Assumption-lean inference for generalised linear model parameters (Q6600813) (← links)
- Authors' reply to the discussion of `Assumption-lean inference for generalised linear model parameters' by Vansteelandt and Dukes (Q6600838) (← links)
- Causal inference in survival analysis using longitudinal observational data: sequential trials and marginal structural models (Q6625757) (← links)
- Evaluating futility of a binary clinical endpoint using early read-outs (Q6627259) (← links)
- A novel estimand to adjust for rescue treatment in randomized clinical trials (Q6627771) (← links)
- Confounder selection strategies targeting stable treatment effect estimators (Q6627915) (← links)
- Using generalized linear models to implement g-estimation for survival data with time-varying confounding (Q6628154) (← links)
- Principled selection of baseline covariates to account for censoring in randomized trials with a survival endpoint (Q6628429) (← links)
- Doubly robust conditional logistic regression (Q6628732) (← links)
- Mediation analysis of time-to-event endpoints accounting for repeatedly measured mediators subject to time-varying confounding (Q6628743) (← links)
- On estimation and cross-validation of dynamic treatment regimes with competing risks (Q6629369) (← links)
- Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation (Q6630299) (← links)
- Dealing with time-dependent exposures and confounding when defining and estimating attributable fractions -- revisiting estimands and estimators (Q6630333) (← links)
- Data-adaptive bias-reduced doubly robust estimation (Q6632734) (← links)
- A principal stratification approach to assess the differences in prognosis between cancers caused by hormone replacement therapy and by other factors (Q6644607) (← links)
