Measurement Error: Models, Methods and Applications 

John Buonaccorsi 

University of Massachusetts/Amherst 

 Time       9:30am registration and refreshments, 
                10-4pm short-course 
 
 Location   Administration Building, 80 East Concord Street, room L-112 

         Boston University School of Public Health, Boston, MA 

Abstract This course will present an introductory and applied look at 

measurement error (including misclassification.) The focus will be on the 

basic models use for measurement error, the impacts of measurement error on 

naive analyses that ignore it, and an overview of techniques to correct for 

it. Emphasis is on categorical models (for proportions and two-way) and 

linear and non-linear regression, including binary regression. A number of 

examples will be presented and an overview of computing options presented. 

                  
Prerequisites     Applied Linear and Logistic Regression Analysis 

Directions  http://www.bu.edu/maps/?campus=medical 
 
Parking: is available for $5 on Saturdays in the garage located at 710 
Albany Street. 
 
More information: is available at the Boston Chapter of the American 
Statistical Association website (http://www.amstat.org/chapters/boston) 

Registration includes lunch.
To register by check, include the check made payable to BCASA, your name, affiliation, and mail by Jan 21 to:

Huichao Chen, PhD 
Department of Biostatistics/CBAR 
Harvard University 
651 Huntington Ave, FXB502 
Boston, MA 02115