174 citations · 226 across the 9 of their papers we have counts for
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The Symmetric Pair Matching Design: A Self-Controlled Method with Automatic Adjustment for Time Effects
Robin Denz, Filippo Saatkamp, Katharina Meiszl +1
Self-controlled study designs eliminate confounding by individual-level characteristics that remain constant during the observation time and are thus widely used in pharmacoepidemi…
Causal Mediation Analysis with a Time-Dependent Mediator, Time-Dependent Confounders and a Time-to-Event Outcome: Revisiting the Difference Method
Robin Denz, Nina Timmesfeld
Mediation analysis is a powerful tool to decompose treatment effects into direct and indirect components, enabling explanations of total treatment effects in a formal statistical f…
Guidance for Addressing Individual Time Effects in Cohort Stepped Wedge Cluster Randomized Trials: A Simulation Study
Jale Basten, Katja Ickstadt, Nina Timmesfeld
Background: Stepped wedge cluster randomized trials (SW-CRTs) involve sequential measurements within clusters over time. Initially, all clusters start in the control condition befo…
Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package
Robin Denz, Nina Timmesfeld
Generating artificial data is a crucial step when performing Monte-Carlo simulation studies. Depending on the planned study, complex data generation processes (DGP) containing mult…
adjustedCurves: Estimating Confounder-Adjusted Survival Curves in R
Robin Denz, Nina Timmesfeld
Kaplan-Meier curves stratified by treatment allocation are the most popular way to depict causal effects in studies with right-censored time-to-event endpoints. If the treatment is…
Impact of Record-Linkage Errors in Covid-19 Vaccine-Safety Analyses using German Health-Care Data: A Simulation Study
Robin Denz, Katharina Meiszl, Peter Ihle +5
With unprecedented speed, 192,248,678 doses of Covid-19 vaccines were administered in Germany by July 11, 2023 to combat the pandemic. Limitations of clinical trials imply that the…
Bias through time-varying covariates in the analysis of cohort stepped wedge trials: a simulation study
Jale Basten, Katja Ickstadt, Nina Timmesfeld
In stepped wedge cluster randomized trials (SW-CRTs), observations collected under the control condition are, on average, from an earlier time than observations collected under the…
Visualizing the (Causal) Effect of a Continuous Variable on a Time-To-Event Outcome
Robin Denz, Nina Timmesfeld
Visualization is a key aspect of communicating the results of any study aiming to estimate causal effects. In studies with time-to-event outcomes, the most popular visualization ap…
A Comparison of Different Methods to Adjust Survival Curves for Confounders
Robin Denz, Renate Klaaßen-Mielke, Nina Timmesfeld
Treatment specific survival curves are an important tool to illustrate the treatment effect in studies with time-to-event outcomes. In non-randomized studies, unadjusted estimates…