Estimation of Early Postmortem Interval by Multiple Regression Analysis
Journal: Austin Journal of Forensic Science and Criminology (Vol.2, No. 5)Publication Date: 2015-12-22
Authors : Saralaya PK; Chandra YPG; Jayanth SH; Praveen S; Krishnan AG;
Page : 1-4
Keywords : Postmortem Interval; Multiple Regression Analysis; Core Body Temperature; Rigidity; Hypostasis;
Abstract
A multiple regression analysis using core body temperature and non temperature based postmortem changes were applied to 204 postmortem cases of within 24h Post Mortem (PM) interval, and non-temperature based postmortem changes like hypostasis and rigidity, were numerically categorized and used with core body temperatures as three statistical variables in the multiple regression analysis. The multiple regression analysis produced a multiple correlation coefficient values for core body temperature multiplication factor is -0.010, rigor mortis multiplication factor is 0.341, and for hypostasis multiplication factor is 0.674, and the constant factor is 0.423. Although assessments of non-temperature based PM changes are mostly subjective and have a wide variation, the present study demonstrated usefulness of non temperature based PM changes in the estimation of PM intervals.
Other Latest Articles
- Forensic Dentistry as a Tool for Identification
- Touch DNA in a Complicated Alleged Child Abuse Case
- History and Modalities of Forensic Radiology: A Review
- An Unusual Complex Suicide by Pesticide Ingestion and Stabbing: A Case Report
- Multi-residue Determination of Seven Methyl-Carbamate Pesticides by High-Performance Liquid Chromatography with Diode Array Detection: Investigation of Suspected Animal Poisoning in the Period 2010-2014 in North- Eastern Italy
Last modified: 2017-03-22 20:32:11