Pages that link to "Item:Q4911920"
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The following pages link to Double‐Robust Semiparametric Estimator for Differences in Restricted Mean Lifetimes in Observational Studies (Q4911920):
Displaying 18 items.
- Two-sample tests for survival data from observational studies (Q725423) (← links)
- Semiparametric inference of treatment effects on restricted mean survival time in two sample problems from length-biased samples (Q2105388) (← links)
- Nonparametric and semiparametric estimators of restricted mean survival time under length-biased sampling (Q2218812) (← links)
- Adjusted log-rank test with double inverse weighting under dependent censoring (Q2244674) (← links)
- Landmark estimation of survival and treatment effects in observational studies (Q2356620) (← links)
- Estimating restricted mean treatment effects with additive-multiplicative hazards models (Q5051338) (← links)
- Estimating the average treatment effect on survival based on observational data and using partly conditional modeling (Q5347411) (← links)
- Semiparametric methods to contrast gap time survival functions: Application to repeat kidney transplantation (Q5739278) (← links)
- Discussion of “A Risk-Based Measure of Time-Varying Prognostic Discrimination for Survival Models,” by C. Jason Liang and Patrick J. Heagerty (Q6079966) (← links)
- Making apples from oranges: Comparing noncollapsible effect estimators and their standard errors after adjustment for different covariate sets (Q6091719) (← links)
- Propensity Score Weighting Analysis of Survival Outcomes Using Pseudo-Observations (Q6092966) (← links)
- Semiparametric estimation of restricted mean survival time as a function of restriction time (Q6560540) (← links)
- Estimating causal effects in observational studies for survival data with a cure fraction using propensity score adjustment (Q6595077) (← links)
- Propensity score matching for estimating a marginal hazard ratio (Q6615932) (← links)
- Adjusted restricted mean survival times in observational studies (Q6625176) (← links)
- Analysis of survival data with nonproportional hazards: a comparison of propensity-score-weighted methods (Q6625329) (← links)
- An inverse probability weighted regression method that accounts for right-censoring for causal inference with multiple treatments and a binary outcome (Q6626894) (← links)
- Estimating heterogeneous survival treatment effect in observational data using machine learning (Q6627965) (← links)
