ici_kalt at yahoo.com
Fri Feb 21 08:54:41 EST 2014
Hello Trudy. It seems it is more related to the handling and imputation of missing data. There is a note at the beginning of the book that no model or assumption must be done to handle missing data. I cannot see if after imputation they use logistic models to verify the quality of the imputation (if possible).
INSTITUTO DE EVALUACION E INGENIERIA AVANZADA.
Ave. Cordillera Occidental No. 635
Colonia Lomas 4ª San Luis Potosí, San Luis Potosí.
C.P. 78216 MEXICO
(52) (444) 8 25 50 76 / (52) (444) 8 25 50 77 / (52) (444) 8 25 50 78
Página Web (en español): http://www.ieia.com.mx
Web page (in English): http://www.ieesa-kalt.com/English/Frames_sp_pro.html
On Thursday, February 20, 2014 7:08 AM, Trudy Mallinson <tmallinson at mac.com> wrote:
A colleague sent me this book description and wondered if it was relevant to work we are doing - we are using Rasch on a range of clinical data a la Hughes, Perkins, & Wright (2005).
"Probabilistic Information Transfer" by Olga Zeydina and Bernard Beauzamy http://scmsa.eu/archives/SCM_PIT_order.htm
Does anyone know anything about the approach in this book and how it does or does not relate to the Rasch model?
tmallinson at mac.com
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Rasch at acer.edu.au
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