Biostatistics short course: Incorporating Functional Data into Statistical ModelsRegister here – Registration Deadline: November 30, 2022Friday, December 2, 2022 9:00 am – 1:00 pm
In this short course, Todd Ogden, PhD, Columbia University, will discuss incorporating functional data into statistical models. Functional data is all around us. Vast quantities of data are routinely gathered from accelerometers and other wearable devices, smartphones, imaging modalities, and many other sources. The term “functional data” refers to any data that can be thought of as multiple observations over some continuum. Examples includes near-infrared spectra, growth curves, 2D or 3D images, time series of ecological momentary assessments (EMA), density functions or histograms, data from electroencephalography (EEG) or magnetic resonance spectroscopy (MRS) studies, and many others. To make the best use of such data, it is necessary to adapt statistical models and techniques to take advantage of the particular structure of functional data. This tutorial will survey some of the advances that have been made and provide examples of analyses that make good use of functional data. It will focus primarily on concepts and interpretation rather than on mathematical or computational details.