Statistical methods and their applications to biomedical studies with complex study designs

With the increasing complexity of study designs in biomedical research, biomedical scientists are often challenged with tasks of analyzing data measured by complex study design. Although most statistical analyses assume the end results are independent, the outcomes of repeated measurements taken on the same subjects are in fact dependent, which may contribute to the failure of the analysis. This Project will propose an advanced statistical technique, General Equation Estimation, to account for such dependencies and correlations. With the increasing complexity of study designs within the pharmaceutical and biotechnological research disciplines, the partner organization will gain additional expertise and insight with future statistical analysis tasks.

Faculty Supervisor:

Irina Dinu

Student:

Partner:

Applied Pharmaceutical Innovation

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services; Retail trade

University:

University of Alberta

Program: