1 citations · 1 across the 4 of their papers we have counts for
4 papers
A non-parametric proportional risk model to assess a treatment effect in time-to-event data
Lucia Ameis, Oliver Kuß, Annika Hoyer +1
Time-to-event analysis often relies on prior parametric assumptions, or, if a non-parametric approach is chosen, Cox's model. This is inherently tied to the assumption of proportio…
Importance of diagnostic accuracy in big data: False-positive diagnoses of type 2 diabetes in health insurance claims data of 70 million Germans
Ralph Brinks, Thaddaeus Toennies, Annika Hoyer
Large data sets comprising diagnoses about chronic conditions are becoming increasingly available for research purposes. In Germany, it is planned that aggregated claims data inclu…
Numerical considerations about the SIR epidemic model with infection age
Ralph Brinks, Annika Hoyer
We analyse the infection-age-dependent SIR model from a numerical point of view. First, we present an algorithm for calculating the solution the infection-age-structured SIR model…
Estimation of the actual disease occurrence based on official case numbers during a COVID outbreak in Germany 2020
Ralph Brinks, Annika Hoyer
Since the beginning of March 2020, the cumulative numbers of cases of infection with the novel coronavirus SARS-CoV-2 in Germany have been reported on a daily basis. The reports or…