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Found 4 papers, 2 papers with code
Adaptive Sequential Surveillance with Network and Temporal Dependence
Our causal target parameter is the mean latent outcome we would have obtained after one time-step, if, starting at time t given the observed past, we had carried out a stochastic intervention that maximizes the outcome under a resource constraint.
Two-Stage TMLE to Reduce Bias and Improve Efficiency in Cluster Randomized Trials
First, outcomes are often missing for some individuals within clusters.
Statistical Analysis Plan for SEARCH Phase I: Health Outcomes among Adults
This document provides the analytic plan for evaluating adult HIV incidence, health, and implementation outcomes for the first phase of the SEARCH Study.
Applications
A new approach to hierarchical data analysis: Targeted maximum likelihood estimation for the causal effect of a cluster-level exposure
Incorporating working assumptions during estimation is more robust than assuming they hold in the underlying causal model.
Methodology
