Assessing heterogeneity in treatment initiation guidelines in longitudinal randomized controlled trials
From MaRDI portal
Publication:6636365
DOI10.1016/J.JSPI.2024.106226MaRDI QIDQ6636365
Hyunkeun Ryan Cho, Seon Jin Kim
Publication date: 12 November 2024
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
longitudinal datacausal inferencequadratic inference functionweighted score functionsheterogeneous guideline effects
Cites Work
- Title not available (Why is that?)
- Longitudinal data analysis using generalized linear models
- Improving generalised estimating equations using quadratic inference functions
- Efficient estimation for longitudinal data by combining large-dimensional moment conditions
- Modeling the causal effect of treatment initiation time on survival: Application to HIV/TB co-infection
- A crossvalidation method for estimating conditional densities
- Estimating Mean Response as a Function of Treatment Duration in an Observational Study, Where Duration May Be Informatively Censored
- Consistent Model Selection and Data-Driven Smooth Tests for Longitudinal Data in the Estimating Equations Approach
- Semiparametric inference in observational duration-response studies, with duration possibly right-censored
- The central role of the propensity score in observational studies for causal effects
- Estimation of conditional densities and sensitivity measures in nonlinear dynamical systems
- Identification and Estimation of Local Average Treatment Effects
- Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme
- Marginal Structural Models to Estimate the Joint Causal Effect of Nonrandomized Treatments
- The role of the propensity score in estimating dose-response functions
- On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
- Characterizing Selection Bias Using Experimental Data
- Estimating the Labor Market Impact of Voluntary Military Service Using Social Security Data on Military Applicants
- Identification and Inference for Marginal Average Treatment Effect on the Treated with an Instrumental Variable
- Causal comparative effectiveness analysis of dynamic continuous‐time treatment initiation rules with sparsely measured outcomes and death
- Causal Inference for Statistics, Social, and Biomedical Sciences
- Causal Inference With General Treatment Regimes
This page was built for publication: Assessing heterogeneity in treatment initiation guidelines in longitudinal randomized controlled trials
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6636365)