Pages that link to "Item:Q4979239"
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The following pages link to Modeling the impact of hepatitis C viral clearance on end‐stage liver disease in an HIV co‐infected cohort with targeted maximum likelihood estimation (Q4979239):
Displaying 10 items.
- Prediction of long-term treatment outcome in HCV following 24 day PEG-IFN alpha-2b therapy using population pharmacokinetic-pharmacodynamic mixture modeling and classification analysis (Q739328) (← links)
- Modelling hepatotoxicity and antiretroviral therapeutic effect in HIV/HBV coinfection (Q1989670) (← links)
- Evaluating the impact of a HIV low-risk express care task-shifting program: a case study of the targeted learning roadmap (Q2001893) (← links)
- Estimating hepatitis C prevalence in England and Wales by synthesizing evidence from multiple data sources. Assessing data conflict and model fit (Q3304943) (← links)
- Parametric g‐formula implementations for causal survival analyses (Q6074529) (← links)
- Targeted learning with daily EHR data (Q6624675) (← links)
- A causal framework for classical statistical estimands in failure-time settings with competing events (Q6627538) (← links)
- Using longitudinal targeted maximum likelihood estimation in complex settings with dynamic interventions (Q6628749) (← links)
- Doubly robust and efficient estimation of marginal structural models for the hazard function (Q6632733) (← links)
- Double robust efficient estimators of longitudinal treatment effects: comparative performance in simulations and a case study (Q6637206) (← links)
