Statistics 600

Applied statistics and data analysis I

Notes:

Introduction to R
Least squares
Decomposing variance
Misspecification and confounding
Diagnostics
Midterm from 2008
2009 midterm, with solutions
Model selection
Prediction
Dependent data
Generalized Linear Models

Problem sets:

Problem set 1 (solutions)
Problem set 2
Problem set 3
Data project

Code examples:

linreg_sampling.R
linreg_ci_coverage.R
scheffe.R
multiple_least_squares.R
ls_slope_pi.R
partial_R2_1.R
partial_R2_2.R
measurement_error.R
simex.R
box_cox.R
CP1.R
CP2.R
FERE.R
glm.R
glm_overdispersion.R

Data sets: