468 citations · 586 across the 10 of their papers we have counts for
10 papers
Recoverability of Causal Effects under Presence of Missing Data: a Longitudinal Case Study
Anastasiia Holovchak, Helen McIlleron, Paolo Denti +1
Missing data in multiple variables is a common issue. We investigate the applicability of the framework of graphical models for handling missing data to a complex longitudinal phar…
Causal Fair Machine Learning via Rank-Preserving Interventional Distributions
Ludwig Bothmann, Susanne Dandl, Michael Schomaker
A decision can be defined as fair if equal individuals are treated equally and unequals unequally. Adopting this definition, the task of designing machine learning (ML) models that…
Causal Inference for Continuous Multiple Time Point Interventions
Michael Schomaker, Helen McIlleron, Paolo Denti +1
There are limited options to estimate the treatment effects of variables which are continuous and measured at multiple time points, particularly if the true dose-response curve sho…
The Delta-Method and Influence Function in Medical Statistics: a Reproducible Tutorial
Rodrigo Zepeda-Tello, Michael Schomaker, Camille Maringe +5
Approximate statistical inference via determination of the asymptotic distribution of a statistic is routinely used for inference in applied medical statistics (e.g. to estimate th…
Regression and Causality
Michael Schomaker
The causal effect of an intervention (treatment/exposure) on an outcome can be estimated by: i) specifying knowledge about the data-generating process; ii) assessing under what ass…
Estimating the Effect of Central Bank Independence on Inflation Using Longitudinal Targeted Maximum Likelihood Estimation
Philipp F. M. Baumann, Michael Schomaker, Enzo Rossi
The notion that an independent central bank reduces a country's inflation is a controversial hypothesis. To date, it has not been possible to satisfactorily answer this question be…
Educational Note: Paradoxical Collider Effect in the Analysis of Non-Communicable Disease Epidemiological Data: a reproducible illustration and web application
Miguel Angel Luque-Fernandez, Michael Schomaker, Daniel Redondo-Sanchez +3
Classical epidemiology has focused on the control of confounding but it is only recently that epidemiologists have started to focus on the bias produced by colliders. A collider fo…
Using Longitudinal Targeted Maximum Likelihood Estimation in Complex Settings with Dynamic Interventions
Michael Schomaker, Miguel Angel Luque-Fernandez, Valeriane Leroy +1
Longitudinal targeted maximum likelihood estimation (LTMLE) has very rarely been used to estimate dynamic treatment effects in the context of time-dependent confounding affected by…
When and when not to use optimal model averaging
Michael Schomaker, Christian Heumann
Traditionally model averaging has been viewed as an alternative to model selection with the ultimate goal to incorporate the uncertainty associated with the model selection process…
Bootstrap Inference when Using Multiple Imputation
Michael Schomaker, Christian Heumann
Many modern estimators require bootstrapping to calculate confidence intervals because either no analytic standard error is available or the distribution of the parameter of intere…