The least-squares criterion is a method of measuring the accuracy of a line in depicting the data that was used to generate it. That is, the formula determines the line of best fit.

Topics include regression models for continuous, binary, ordinal, multinomial, count, time-to-event, and longitudinal data. Prerequisites PUBH.5760 Biostatistical Programming, and PUBH.5770 ...

Model building via linear regression models. Method of least squares, theory and practice. Checking for adequacy of a model, examination of residuals, checking outliers. Practical hand on experience ...

This paper develops a method for fitting the proportional hazards regression model when the data contain left-, right-, or interval-censored observations. Results for testing the hypothesis of a zero ...

Elise Dusseldorp, Claudio Conversano, Bart Jan Van Os, Combining an Additive and Tree-Based Regression Model Simultaneously: STIMA, Journal of Computational and Graphical Statistics, Vol. 19, No. 3 ...

Join us on campus for a three-day workshop on applied regression modeling using R! Open to grad students, researchers, educators, and professionals with interest in expanding their skills with applied ...