34 citations · 55 across the 10 of their papers we have counts for
6 papers · 1 filter
Learn-As-you-GO (LAGO) Trials: Optimizing Treatments and Preventing Trial Failure Through Ongoing Learning
Ante Bing, Donna Spiegelman, Daniel Nevo +1
It is well known that changing the intervention package while a trial is ongoing does not lead to valid inference using standard statistical methods. However, it is often necessary…
Causal mediation analysis with mediator values below an assay limit
Ariel Chernofsky, Ronald J. Bosch, Judith J. Lok
Causal indirect and direct effects provide an interpretable method for decomposing the total effect of an exposure on an outcome into the effect through a mediator and the effect t…
Causal organic indirect and direct effects: closer to Baron and Kenny, with a product method for binary mediators
Judith J. Lok, Ronald J. Bosch
Mediation analysis, which started with Baron and Kenny (1986), is used extensively by applied researchers. Indirect and direct effects are the part of a treatment effect that is me…
Analysis of "Learn-As-You-Go" (LAGO) Studies
Daniel Nevo, Judith J. Lok, Donna Spiegelman
In learn-as-you-go (LAGO) adaptive studies, the intervention is a complex package consisting of multiple components, and is adapted in stages during the study based on past outcome…
Organic direct and indirect effects with post-treatment common causes of mediator and outcome
Judith J Lok
Most of the literature on direct and indirect effects assumes that there are no post-treatment common causes of the mediator and the outcome. In contrast to natural direct and indi…
Doubly Robust Goodness-of-Fit Test of Coarse Structural Nested Mean Models with Application to Initiating combination antiretroviral treatment in HIV-Positive Patients
Shu Yang, Judith J. Lok
Coarse Structural Nested Mean Models (SNMMs) provide useful tools to estimate treatment effects from longitudinal observational data with time-dependent confounders. Coarse SNMMs l…