Pages that link to "Item:Q5308149"
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The following pages link to Causal inference for non-mortality outcomes in the presence of death (Q5308149):
Displaying 14 items.
- Causal inference through potential outcomes and principal stratification: application to studies with ``censoring'' due to death (Q449724) (← links)
- Longitudinal data with follow-up truncated by death: match the analysis method to research aims (Q903278) (← links)
- Identifiability of causal effects for binary variables with baseline data missing due to death (Q2893993) (← links)
- On Estimation of the Survivor Average Causal Effect in Observational Studies When Important Confounders Are Missing Due to Death (Q3636996) (← links)
- A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect (Q4721480) (← links)
- Modeling semi‐competing risks data as a longitudinal bivariate process (Q6079576) (← links)
- A mixed model approach to estimate the survivor average causal effect in cluster-randomized trials (Q6560456) (← links)
- The survival-incorporated median vs the median in the survivors or in the always-survivors: what are we measuring? And why? (Q6560550) (← links)
- Assessing the ratio of means as a causal estimand in clinical endpoint bioequivalence studies in the presence of intercurrent events (Q6627246) (← links)
- Assessing treatment benefit in the presence of placebo response using the sequential parallel comparison design (Q6628355) (← links)
- Survival mediation analysis with the death-truncated mediator: the completeness of the survival mediation parameter (Q6628416) (← links)
- Using principal stratification in analysis of clinical trials (Q6628508) (← links)
- Using longitudinal targeted maximum likelihood estimation in complex settings with dynamic interventions (Q6628749) (← links)
- Large sample bounds on the survivor average causal effect in the presence of a binary covariate with conditionally ignorable treatment assignment (Q6632700) (← links)
