What question did this study set out to answer?

To develop a targeted minimum loss-based estimator for multiple time-point interventions that improves finite-sample performance by targeting only essential conditional expectations rather than the entire longitudinal distribution.

May 5, 2012The International Journal of BiostatisticsOpen Access

Targeted Minimum Loss Based Estimation of Causal Effects of Multiple Time Point Interventions

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Authors

MLMark J. van der LaanUniversity of California, Berkeley SGSusan GruberRevolution Research

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Implication

Methodological study demonstrates targeted estimation of longitudinal causal effects via iterative conditional expectations, indicating enhanced finite-sample performance under confounding.

Key Points

To develop a targeted minimum loss-based estimator for multiple time-point interventions that improves finite-sample performance by targeting only essential conditional expectations rather than the entire longitudinal distribution.
Represented the target intervention-specific mean outcome as an iterative sequence of conditional expectations across longitudinal data structures.
Integrated key concepts from previous double-robust estimators into the TMLE framework and extended the approach to parameters defined by marginal structural models.
Assessed theoretical characteristics and finite-sample properties using a small-scale numerical simulation study.
Derived a closed-form targeted minimum loss-based estimator that bypasses the need to estimate the full probability distribution of longitudinal data structures.
Confirmed via small-scale simulation that targeted updating of conditional expectations provides valid, stable finite-sample causal effect estimates under time-dependent confounding.

Cite This Study

Laan et al. (2012) studied this question.

synapsesocial.com/papers/6a034eb1a7089d6435654882 https://doi.org/10.1515/1557-4679.1370

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Implication

Methodological study demonstrates targeted estimation of longitudinal causal effects via iterative conditional expectations, indicating enhanced finite-sample performance under confounding.

Targeted Minimum Loss Based Estimation of Causal Effects of Multiple Time Point Interventions

Discussion

Member takes

Implication

Key Points

Cite This Study

Targeted Minimum Loss Based Estimation of Causal Effects of Multiple Time Point Interventions

Discussion

Member takes

Implication

Key Points

Cite This Study

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