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Statistics Lectures: Semiparametric Regression with R

Start Date: March 3, 2019
End Date: March 4, 2019

By Prof. Jaroslaw Harezlak 
Department of Epidemiology and Biostatistics at the Indiana University 
School of Public Health in Bloomington
Semiparametric regression methods build on parametric regression models by allowing more flexible relationships between the predictors and the response variables. Examples of semiparametric regression include generalized additive models, additive mixed models and spatial smoothing. Our goal is to provide an easy-to-follow applied seminar on semiparametric regression methods using R. There is a vast literature on the semiparametric regression methods. However, most of it is geared towards researchers with advanced knowledge of statistical methods. This seminar series explains the techniques and benefits of semiparametric regression in a concise and modular fashion. Spline functions, linear mixed models and hierarchical models are shown to play an important role in semiparametric regression. The course material is based on the book ‘Semiparametric Regression with R’ by J. Harezlak, D. Ruppert, and M.P. Wand (Springer).
Biography: Jaroslaw Harezlak is a Professor in the Department of Epidemiology and Biostatistics at the Indiana University School of Public Health in Bloomington. He has a Ph.D. in Biostatistics from the Harvard University. After a 2-year post-doctoral training at the Harvard School of Public Health, he joined Indiana University as an Assistant Professor. His interests span a number of medical areas: including NeuroHIV, physical activity, and mild traumatic brain injury (mTBI), as well as statistical areas: including semiparametric regression, regularization, functional data analysis and structured high-dimensional data. In his applied research, he uses data arising in structural and functional brain imaging, accelerometry, and intensively collected longitudinal studies. He has published over 80 peer-reviewed articles in the statistical, medical and epidemiological journals as well as a book on “Semiparametric Regression with R”.

More Information:

For more info contact: Prof. Hernando Ombao: email:
Date: March 3 and 4 
Time: 5:00 - 6:30 PM 
Location: Building 1, level 4, room 4102
light refreshments will be served around 4:45 PM