Related Experiment Video
Updated: Jul 11, 2026

Murine Drinking Models in the Development of Pharmacotherapies for Alcoholism: Drinking in the Dark and Two-bottle Choice
Published on: January 7, 2019
Convergent results of two methods of estimating the prevalence of problem drinking
Abstract:
Two studies were conducted using different methods of estimating the prevalence of problem drinking among the Canadian Armed Forces. In one case, data on alcohol sales from base outlets were used to calculate mean per capita consumption, which in turn was applied to a theoretical and, to some extent, empirically-validated plot of the distribution of consumption often referred to as the Ledermann curve. Criteria for different levels of problem drinking were then applied to this distribution. In the other case, estimates of problem drinking and presumptive problem drinking were derived from self-reported data on the correlates and sequelae of excessive drinking. The results derived from the two methods were highly convergent. As in the case of studies from the United States, the estimates were disturbingly high, both placing approximately 18% of the respective populations in he hazardous drinking category. The preventive and treatment-related implications of these findings are discussed.
More Related Videos
Related Concept Videos
Assessment of blood pressure in brachial artery(two-step method)
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
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
Comparing the Survival Analysis of Two or More Groups

