Survival analysis is a key statistical method in clinical research, used to analyze the time until an event of interest, such as death, …
Biostatistician with a strong background in theoretical mathematics and extensive experience in clinical trials.
Expertise in multiple testing, non-parametric statistics, adaptive trial design and proficiency in SAS and R.
Engaged university lecturer.
Nonparametric test theory, 2014-2015
Humboldt University Berlin, Berlin, Germany
B.Sc. Mathematics, 2009-2012
Free University of Berlin, Berlin, Germany
Statistical consulting
Sample size estimation
Randomization
Statistical analysis plan (SAP)
Programming of TLGs
CDISC SDTM & ADaM
SAS
R
Python
Matlab
PASS
nQuery
Multiple Testing
Adaptive Study Design
Kaplan-Meier Analysis
Regression Analysis
ANOVA ANCOVA
Assay Statistics
Dermatology
Immunology
Immune Cell Diagnostics
Medical Devices
Neurology
Hepatology
INDUSTRY EXPERIENCE
TEACHING EXPERIENCE
Survival analysis is a key statistical method in clinical research, used to analyze the time until an event of interest, such as death, …
Computing and approximating multivariate chi-square probabilities. The multivariate chi-squared distribution is an extension of the …
Adaptive designs are becoming increasingly important in clinical trials, reflecting a shift towards more flexible and efficient study methodologies. …
In clinical trials, one of the fundamental goals is to understand the effect of a treatment or intervention. To achieve this, we need to clearly define what exactly we are trying to measure. This is where the concept of estimands becomes crucial …
A framework in the literature for the applicability of the different methods to handle missingness is based on a classification according to the following missingness mechanisms …