Project Details
Projekt
FOR 534: Statistical Modelling and Data Analysis in Clinical Epidemiology
Subject Area
Medicine
Term
from 2004 to 2009
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 5470786
The Research Unit will concentrate on specific complex problems arising in the framework of clinical epidemiology with a strong need for evaluation of new and challenging statistical methods. The focus lies on the development of statistical methodology concerning three main and urgent themes which recur in many different clinical questions: bias from design or inadequate models, dynamic phenomena, and the assessment of prognoses and models. The innovative methods should exhibit an advantage over standard methods or other competing techniques. Their application to available, individual patient data should provide new insights about the basic clinical research question and about their practical suitability.
The Research Unit will not only answer important clinical questions in cooperation with clinical partners, but also contribute to the advancement of general statistical methodology with broad applications. Thus, both disciplines - biostatistics and clinical epidemiology - will profit from the work of the unit as the challenging clinical problems can only be adapted successfully in a strong and active group of scientists with sound expertise in biostatistics and long-lasting experience with clinical applications.
The Research Unit will not only answer important clinical questions in cooperation with clinical partners, but also contribute to the advancement of general statistical methodology with broad applications. Thus, both disciplines - biostatistics and clinical epidemiology - will profit from the work of the unit as the challenging clinical problems can only be adapted successfully in a strong and active group of scientists with sound expertise in biostatistics and long-lasting experience with clinical applications.
DFG Programme
Research Units
Projects
- Analysis of complex case-control studies in pharmacoepidemiology (P: Pharmacoepi) (Applicant Schumacher, Martin )
- Assessment of dynamic prognostic scores (D: Dynamic scores) (Applicant Graf, Erika )
- Assessment of time-varying long-term effects of therapies and prognostic factors (T: Time-varying) (Applicant Sauerbrei, Wilhelm )
- Coordination and information (C: Coordination) (Applicant Schumacher, Martin )
- Evaluation of bias in systematic reviews (R: Review) (Applicant Schwarzer, Guido )
- Evidence from non-randomized and partially randomized studies (N: Non-randomized) (Applicant Schmoor, Ph.D., Claudia )
- Regression and multiple time scales in multi-state models (M: Multi-state) (Applicant Schumacher, Martin )
- Survival models with high-dimensional data structure (H: High-dimensional) (Applicant Schumacher, Martin )
Spokesperson
Professor Dr. Martin Schumacher
