CBM2

Tutorials

A Primer on the Principles of Experimental Design

Dr. Devin Koestler, Associate Professor in the Department of Biostatistics and Data Science, University of Kansas Medical Center

In this lecture, I will provide a summary of some important concepts in experimental design. Points of emphasis include: a high-level overview of the structure of a research study, the importance of consulting with statisticians/biostatisticians at the earliest stages of a study, the difference between technical and biological replicates and the statistical ramifications when these two are confused, and the rationale behind power and sample size analyses. The intent is to keep this lecture informal and engaging.In this lecture, I will provide a summary of some important concepts in experimental design. Points of emphasis include: a high-level overview of the structure of a research study, the importance of consulting with statisticians/biostatisticians at the earliest stages of a study, the difference between technical and biological replicates and the statistical ramifications when these two are confused, and the rationale behind power and sample size analyses. The intent is to keep this lecture informal and engaging.

Using ROCs to Evaluate the Diagnostic Accuracy of Markers

Dr. Leonidas Bantis, Assistant Professor in the Department of Biostatistics and Data Science, University of Kansas Medical Center

Evaluation of the overall accuracy of biomarkers might be based on average measures of the sensitivity for all possible specificities ‐and vice versa‐ or equivalently the area under the receiver operating characteristic (ROC) curve that is typically used in such settings (a.k.a. AUC). Apart from this overall accuracy measure, it is often the case that clinical questions focus on pre-defined specificity or sensitivity levels so that over or under-diagnosis is avoided. In other settings, investigators are in need of cutoff points to determine whether intervention is required after establishing the utility of a continuous biomarker or their combinations. We will discuss all these subjects and further expand in 3-class problems that refer to trichotomous settings.

Signal Processing

Collin J. McKinney, Director,Electronics Design Core Laboratory & Nano‐Device Characterization Laboratory (NDCL), University of North Carolina at Chapel Hill, Department of Chemistry

Download the webinar slide presentation.

mcKinney-webinar