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http://20.193.157.4:9595/xmlui/handle/123456789/1684Full metadata record
| DC Field | Value | Language |
|---|---|---|
| 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 |
| Appears in Collections: | Faculty of Community Medicine | |
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