A Causal Proportional Hazards Estimator for the Effect of Treatment Actually Received in a Randomized Trial with All-or-Nothing Compliance
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Publication:3079081
DOI10.1111/1541-0420.00012zbMath1210.62182OpenAlexW2140339217WikidataQ47894530 ScholiaQ47894530MaRDI QIDQ3079081
Publication date: 1 March 2011
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/1541-0420.00012
Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Estimation in survival analysis and censored data (62N02)
Related Items (23)
Inference for the Effect of Treatment on Survival Probability in Randomized Trials with Noncompliance and Administrative Censoring ⋮ Instrumental variable additive hazards models ⋮ Instrumental variable estimation of complier causal treatment effect with interval‐censored data ⋮ Instrumental Variable Estimation of the Causal Hazard Ratio ⋮ Unnamed Item ⋮ A semiparametric linear transformation model to estimate causal effects for survival data ⋮ Latent Subgroup Analysis of a Randomized Clinical Trial through a Semiparametric Accelerated Failure Time Mixture Model ⋮ Instrumental variable method for time‐to‐event data using a pseudo‐observation approach ⋮ Uses and limitations of randomization-based efficacy estimators ⋮ Estimating treatment effects from randomized clinical trials with noncompliance and loss to follow-up: the role of instrumental variable methods ⋮ Structural mean models for compliance analysis in randomized clinical trials and the impact of errors on measures of exposure ⋮ Designs in partially controlled studies: messages from a review ⋮ Uses and limitations of randomization-based efficacy estimators ⋮ Estimating treatment effects from randomized clinical trials with noncompliance and loss to follow-up: the role of instrumental variable methods ⋮ Structural mean models for compliance analysis in randomized clinical trials and the impact of errors on measures of exposure ⋮ Designs in partially controlled studies: messages from a review ⋮ Causal proportional hazards models and time-constant exposure in randomized clinical trials ⋮ A causal proportional hazards estimator under homogeneous or heterogeneous selection in an IV setting ⋮ Estimating the causal effects in randomized trials for survival data with a cure fraction and non compliance ⋮ Estimating treatment effect in a proportional hazards model in randomized clinical trials with all-or-nothing compliance ⋮ Causal inference for recurrent events data with all-or-none compliance ⋮ Instrumental variable estimation of early treatment effect in randomized screening trials ⋮ Sensitivity Analysis of Per-Protocol Time-to-Event Treatment Efficacy in Randomized Clinical Trials
Cites Work
- Correcting for non-compliance in randomized trials using rank preserving structural failure time models
- Identification of Causal Effects Using Instrumental Variables
- Addressing complications of intention-to-treat analysis in the combined presence of all-or-none treatment-noncompliance and subsequent missing outcomes
- On the Effect of Treatment among Would-Be Treatment Compliers: An Analysis of the Multiple Risk Factor Intervention Trial
- Survival Analysis in Clinical Trials: Past Developments and Future Directions
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