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20042026
most citedStatistical modeling of causal effects in continuous time

34 citations · 55 across the 10 of their papers we have counts for

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5 papers · 1 filter

math.ST2021★ 2 cited

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,…

math.ST2021★ 1 cited

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…

math.ST2004★ 34 cited

Statistical modeling of causal effects in continuous time

Judith J. Lok

This article studies the estimation of the causal effect of a time-varying treatment on time-to-an-event or on some other continuously distributed outcome. The paper applies to the…

math.ST2004★ 1 cited

Estimating the causal effect of a time-varying treatment on time-to-event using structural nested failure time models

J. J. Lok, R. D. Gill, A. W. van der Vaart +1

In this paper we review an approach to estimating the causal effect of a time-varying treatment on time to some event of interest. This approach is designed for the situation where…

math.ST2004

Mimicking counterfactual outcomes to estimate causal effects

Judith J. Lok

In observational studies, treatment may be adapted to covariates at several times without a fixed protocol, in continuous time. Treatment influences covariates, which influence tre…