34 citations · 55 across the 10 of their papers we have counts for
13 papers
Regression Not-to-the-Mean: An Oddity of Regression, Illustrated with the Risk of Overdose Deaths
Kelly C. Kung, Natasha K. Martin, Judith J. Lok
Recent works in econometrics have shown that there can be issues with applying a constant treatment effect model in longitudinal settings with staggered treatment and heterogeneous…
Causal indirect effect of an HIV curative treatment: mediators subject to an assay limit and measurement error
Vindyani Herath, Ronald J. Bosch, Judith J. Lok
Causal mediation analysis decomposes the total effect of a treatment on an outcome into the indirect effect, operating through the mediator, and the direct effect, operating throug…
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…
How estimating nuisance parameters can reduce the variance (with consistent variance estimation)
Judith J. Lok
We often estimate a parameter of interest psi when the identifying conditions involve a nuisance parameter theta. Examples from causal inference are Inverse Probability Weighting,…
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…
Optimal estimation of coarse structural nested mean models with application to initiating ART in HIV infected patients
Judith J. Lok, Department of Mathematics, Statistics +1
Coarse structural nested mean models are used to estimate treatment effects from longitudinal observational data. Coarse structural nested mean models lead to a large class of esti…