Journal of Biometrics & Biostatistics

Jeffrey D Long

Biography

Research Interest

Biomarkers; Disparity index; EM algorithm; MixturesMy area is applied statistics in medicine and the behavioral sciences. I am specifically interested in statistical models for use in the study of neurodegenerative diseases, especially Huntington disease. My work focuses on the long-term course of neurodegenerative diseases, which involves the application of longitudinal and time-to-event models. The work I perform is primarily associated with my role as the head statistician for Neurobiological Predictors of Huntington's Disease (PREDICT-HD), funded by the National Institute of Neurological Disorders and Stroke (NINDS). PREDICT-HD is a longitudinal observational study that focuses on identifying the earliest changes associated with disease onset. I am also a lead biostatistician in the Department of Biostatistics' Data Coordinating Center (DCC) for the Network for Excellence in Neuroscience Clinical Trials (NeuroNEXT). NeuroNEXT is a NINDS-funded infrastructure to facilitate rapid development and implementation of protocols in neurological disorders. The DCC assists in the design and analysis of Phase II clinical trials. Another interest of mine is open-source (free) software for statistical analysis and report generation. This includes the R software for statistical computing and graphics, the wxMaxima computer algebra system, RStudio for interactive programming, and MiKTeX and Sweave for report writing. In addition to the professional publications below, I am the co-author (with A. Zieffler and J. Harring) of the textbook “Comparing Groups: Randomization and Bootstrap Methods using R” (New York: Wiley). I am also the author of the textbook “Longitudinal Data Analysis for the Behavioral Sciences using R” (Thousand Oaks, CA: Sage).