The following pages link to A. Sjölander (Q252780):
Displaying 29 items.
- (Q61974) (redirect page) (← links)
- A General Method for Deriving Tight Symbolic Bounds on Causal Effects (Q61989) (← links)
- causaloptim (Q61990) (← links)
- Regression standardization with the R package stdReg (Q126214) (← links)
- Analysis of 1:1 matched cohort studies and twin studies, with binary exposures and binary outcomes (Q252785) (← links)
- Doubly robust estimation with the R package \texttt{drgee} (Q306817) (← links)
- (Q2001883) (redirect page) (← links)
- Revisiting g-estimation of the effect of a time-varying exposure subject to time-varying confounding (Q2001884) (← links)
- Sharp lower and upper bounds for the covariance of bounded random variables (Q2070611) (← links)
- Instrumental variable estimation with the R package \texttt{vtools} (Q2192298) (← links)
- Mediation analysis with attributable fractions (Q2325000) (← links)
- Bias results for nondifferential mismeasurement of a binary confounder (Q2670776) (← links)
- Causal interpretation of between-within models for twin research (Q2867344) (← links)
- Bounds on causal interactions for binary outcomes (Q2927596) (← links)
- Reducing Mean Squared Error in the Analysis of Binary Paired Data (Q2974505) (← links)
- Doubly robust estimation of attributable fractions (Q3303654) (← links)
- Semiparametric causal inference in matched cohort studies (Q3455822) (← links)
- Sensitivity Analysis for Principal Stratum Direct Effects, with an Application to a Study of Physical Activity and Coronary Heart Disease (Q3636999) (← links)
- Estimation of attributable fractions using inverse probability weighting (Q4924359) (← links)
- Sensitivity analysis for unmeasured confounding in the estimation of marginal causal effects (Q5872853) (← links)
- Causal Bounds for Outcome-Dependent Sampling in Observational Studies (Q5885117) (← links)
- A General Method for Deriving Tight Symbolic Bounds on Causal Effects (Q6094085) (← links)
- Estimation of the number needed to treat, the number needed to be exposed, and the exposure impact number with instrumental variables (Q6611525) (← links)
- Sensitivity analysis of G-estimators to invalid instrumental variables (Q6626956) (← links)
- Doubly robust conditional logistic regression (Q6628732) (← links)
- Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation (Q6630299) (← links)
- Combining Mendelian randomization with the sibling comparison design (Q6630319) (← links)
- A principal stratification approach to assess the differences in prognosis between cancers caused by hormone replacement therapy and by other factors (Q6644607) (← links)
- Reaction to Pearl's critique of principal stratification (Q6644685) (← links)
