Uses of logistic Regression to predict the prognosis in Acute Myocardial Infarction (AMI).

Sorganvi VM, Rekha Udgiri  Deepak Kadeli

dc.contributor.author	Sorganvi VM, Rekha Udgiri Deepak Kadeli
dc.date.accessioned	2020-01-13T10:46:03Z
dc.date.available	2020-01-13T10:46:03Z
dc.date.issued	2013-03-17
dc.identifier.uri	http://hdl.handle.net/123456789/1684
dc.description.abstract	Logistic Regression is one of the important methods to perform the statistical model (s) in epidemiological & medical research. It allows the investigators to examine the relationship between binary dependent variable and a set of continuous & discrete independent variables. To understand utility & applicability of this method it was decided to study in hospital outcome (survival & death) of cases admitted due to AMI.	en_US
dc.language.iso	en	en_US
dc.publisher	BLDE(Deemed to be University)	en_US
dc.subject	AMI, Prognoses, Logistic Regression, chi square test	en_US
dc.title	Uses of logistic Regression to predict the prognosis in Acute Myocardial Infarction (AMI).	en_US
dc.type	Article	en_US