Statistical Foundations for Biomarker Research

Douglas P. Landsittel, PhD, is a professor of medicine, biostatistics and clinical and Translational science and director of the Section on Biomarkers and Prediction Modeling at the Center for Research on Health Care (CRHC) Data Center, Division of General Internal Medicine, University of Pittsburgh, USA.

Introduction and Overarching Topics. Broad Objectives for Observational Biomarker Studies. Cross-Sectional Analyses. Study Designs for, and Correlative Analyses of Longitudinal Data. Prediction Models. Further Measures of Classification and Incremental Improvement in Accuracy. Classification Bias, Data Splitting and Validation. Further Topics in Planning and Funding Observational Biomarker Studies. Conclusions.