Pages that link to "Item:Q3505345"
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The following pages link to On Confounding, Prediction and Efficiency in the Analysis of Longitudinal and Cross‐sectional Clustered Data (Q3505345):
Displaying 9 items.
- Causal diagrams for interference (Q252805) (← links)
- Revisiting g-estimation of the effect of a time-varying exposure subject to time-varying confounding (Q2001884) (← links)
- The stratified micro-randomized trial design: sample size considerations for testing nested causal effects of time-varying treatments (Q2194456) (← links)
- Linear mixed models with endogenous covariates: modeling sequential treatment effects with application to a mobile health study (Q2218059) (← links)
- Comparison of causal effect estimators under exposure misclassification (Q2266902) (← links)
- Marginal structural models for partial exposure regimes (Q3304909) (← links)
- An Empirical Comparison of Several Clustered Data Approaches Under Confounding Due to Cluster Effects in the Analysis of Complications of Coronary Angioplasty (Q4666589) (← links)
- Methods for observed‐cluster inference when cluster size is informative: A review and clarifications (Q5170217) (← links)
- On the analysis of two-phase designs in cluster-correlated data settings (Q6628721) (← links)
