Estimating Mean Response as a Function of Treatment Duration in an Observational Study, Where Duration May Be Informatively Censored
From MaRDI portal
Publication:3442959
DOI10.1111/j.0006-341X.2004.00175.xzbMath1110.62153OpenAlexW2041914551WikidataQ44923985 ScholiaQ44923985MaRDI QIDQ3442959
Brent A. Johnson, Anastasios A. Tsiatis
Publication date: 25 May 2007
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.0006-341x.2004.00175.x
survival analysisconfoundingpropensity scoreobservational studyinverse weightingcensored covariatescensored treatmentinfusion length
Related Items (5)
Direct Estimation for Adaptive Treatment Length Policies: Methods and Application to Evaluating the Effect of Delayed PEG Insertion ⋮ Estimating mean potential outcome under adaptive treatment length strategies in continuous time ⋮ Treatment-competing events in dynamic regimes ⋮ A note on the use of kernel functions in weighted estimators ⋮ Modeling Clinical Endpoints as a Function of Time of Switch to Second‐Line ART with Incomplete Data on Switching Times
Cites Work
- The central role of the propensity score in observational studies for causal effects
- Model-Based Direct Adjustment
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- Marginal Structural Models to Estimate the Joint Causal Effect of Nonrandomized Treatments
- Marginal Mean Models for Dynamic Regimes
- Nonparametric Estimation of a Survivorship Function with Doubly Censored Data
- Robust Estimation of a Location Parameter
- Estimation from a censored sample for the exponential family
- Estimating the marginal survival function in the presence of time dependent covariates
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Estimating Mean Response as a Function of Treatment Duration in an Observational Study, Where Duration May Be Informatively Censored
