4 papers · 1 filter
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…
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…