Related Experiment Video
Updated: Aug 9, 2026

Murine Drinking Models in the Development of Pharmacotherapies for Alcoholism: Drinking in the Dark and Two-bottle Choice
Published on: January 7, 2019
Peak blood alcohol prediction: an empirical test of two computer models
1Human Factors Program, Texas Transportation Institute, Texas A&M University, College Station 77843-3135, USA.
Objective:
Two computer programs (Computerized Blood Alcohol Calculator and Blood Alcohol Content Estimator) were compared for reliability in predicting peak blood alcohol concentration (BAC).
Method:
Subjects were middle-aged volunteers (N = 40; 20 men, 20 women) who each consumed a constant amount of alcohol (40 ml of 95% alcohol or 30 g ethanol) prior to undergoing breath testing to determine peak BAC. The observed BACs were compared with the predicted BACs obtained with each of the computer programs.
Results:
The Computerized Blood Alcohol Calculator provided marginally better BAC predictions than did the Blood Alcohol Content Estimator. However, both computer models seriously underestimated the peak BACs for this group of subjects.
Conclusions:
Results are discussed with particular reference to the need for additional studies of age, gender, and body composition in predicting peak BACs for heterogeneous subject groups.
More Related Videos
Related Concept Videos
Introduction to Test of Independence
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
Hypothesis Test for Test of Independence
H0: The two variables (factors)...
Determination of Expected Frequency
Pharmacokinetic Models: Overview
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal assumptions,...
Mechanistic Models: Compartment Models in Individual and Population Analysis
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...

