Causal Inference from Longitudinal Studies with Baseline Randomization
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Discussion
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Implication
Analytic approaches estimate causal effects in longitudinal studies with baseline randomization, highlighting method comparisons.
Key Points
- This research aims to develop analytic methods for causal inference in longitudinal studies with baseline randomization.
- Discussed the intention-to-treat effect for randomized studies.
- Defined causal effect specifically for longitudinal studies.
- Described methods based on inverse probability weighting and g-estimation.
- Applied these methods to a trial of antipsychotics on schizophrenia symptom severity.
- Outlined advantages and disadvantages of each analytic method.
Cite This Study
Toh et al. (2008) studied this question.