@article{(Open Science Index):https://publications.waset.org/pdf/5245,
	  title     = {Methods for Data Selection in Medical Databases: The Binary Logistic Regression -Relations with the Calculated Risks},
	  author    = {Cristina G. Dascalu and  Elena Mihaela Carausu and  Daniela Manuc},
	  country	= {},
	  institution	= {},
	  abstract     = {The medical studies often require different methods
for parameters selection, as a second step of processing, after the
database-s designing and filling with information. One common
task is the selection of fields that act as risk factors using wellknown
methods, in order to find the most relevant risk factors and
to establish a possible hierarchy between them. Different methods
are available in this purpose, one of the most known being the
binary logistic regression. We will present the mathematical
principles of this method and a practical example of using it in the
analysis of the influence of 10 different psychiatric diagnostics
over 4 different types of offences (in a database made from 289
psychiatric patients involved in different types of offences).
Finally, we will make some observations about the relation
between the risk factors hierarchy established through binary
logistic regression and the individual risks, as well as the results of
Chi-squared test. We will show that the hierarchy built using the
binary logistic regression doesn-t agree with the direct order of risk
factors, even if it was naturally to assume this hypothesis as being
always true.},
	    journal   = {International Journal of Medical and Health Sciences},
	  volume    = {2},
	  number    = {2},
	  year      = {2008},
	  pages     = {59 - 63},
	  ee        = {https://publications.waset.org/pdf/5245},
	  url   	= {https://publications.waset.org/vol/14},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 14, 2008},
	}