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Related Concept Videos

Noncompartmental Analysis: Mean Residence Time01:05

Noncompartmental Analysis: Mean Residence Time

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According to statistical moment theory, mean residence time (MRT) is an important measure in pharmacokinetics. MRT can be defined as the expected mean of a probability density function distribution. It provides valuable insights into drug disposition in the body.
After the administration of a drug through intravenous bolus injection, the drug molecules are distributed throughout the body and remain there for varying periods. The MRT represents the average time these drug molecules stay in the...
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Life Tables01:22

Life Tables

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A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
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Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
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Noncompartmental Analysis: Mean Transit, Absorption and Dissolution Time01:02

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When drugs are administered extravascularly, a comprehensive evaluation through noncompartmental analysis becomes imperative. This analytical approach considers various parameters that play a crucial role in understanding the pharmacokinetics of these drugs.
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Actuarial Approach01:20

Actuarial Approach

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The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
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Related Experiment Video

Updated: Aug 26, 2025

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IPMICALC: an Integrated Post-mortem Interval Calculator.

Manuel Febrero Bande1, Lucía Ordóñez Mayán2,3, Cristina Cordeiro4,5,6

  • 1Department of Statistics, Mathematical Analysis and Optimization, University of Santiago de Compostela, Santiago de Compostela, Spain.

Forensic Science, Medicine, and Pathology
|October 5, 2022
PubMed
Summary

Estimating the post-mortem interval (PMI) is crucial in forensics. A new free web tool simplifies PMI calculation using vitreous humor analysis and physical data, providing reliable results with confidence intervals.

Keywords:
HypoxanthinePost-mortem intervalPotassiumRectal temperatureRegression modelsTime since deathVitreous humor

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Area of Science:

  • Forensic Science
  • Biochemistry

Background:

  • Accurate post-mortem interval (PMI) estimation is vital for forensic investigations.
  • Vitreous humor analyte concentrations, particularly hypoxanthine and potassium, show correlation with PMI.
  • Current PMI calculation methods can be complex and time-consuming.

Purpose of the Study:

  • To introduce a user-friendly web resource for simplifying post-mortem interval estimation.
  • To provide a rapid, easy, and reliable method for determining PMI using biochemical and physical data.

Main Methods:

  • Development of a web application utilizing mathematical models.
  • Integration of vitreous humor biochemistry (hypoxanthine, potassium) and physical variables (ambient temperature, rectal temperature, bodyweight).
  • Calculation of PMI with 95% confidence intervals.

Main Results:

  • The web resource successfully determines PMI based on the implemented models.
  • The application offers a simplified and reliable approach compared to traditional complex calculations.
  • The tool is freely accessible to users.

Conclusions:

  • The developed web resource effectively simplifies and enhances the accuracy of post-mortem interval estimation.
  • This tool offers a valuable and accessible solution for forensic practitioners.
  • The integration of biochemical and physical data provides a robust method for PMI determination.