Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Determination of Expected Frequency01:08

Determination of Expected Frequency

1.8K
Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
1.8K
Convenience Sampling Method00:55

Convenience Sampling Method

8.6K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
8.6K
Observational Studies01:11

Observational Studies

8.9K
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
8.9K
Data Collection by Observations01:08

Data Collection by Observations

11.0K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
11.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The epidemiological burden and societal cost of 14 respiratory conditions in the World Health Organization European region: systematic evidence map and economic analysis.

ERJ open research·2026
Same author

How Have Alcohol Producers Changed the Alcohol Content of Their Products? A Descriptive Analysis of Reformulation in the Off-Trade Alcohol Market in Great Britain, 2018-2025.

Drug and alcohol review·2026
Same author

Correction: Ten Recommendations for Modelling Cost Effectiveness of Screening: Perspectives of an International Stakeholder Group.

PharmacoEconomics·2026
Same author

Reducing tobacco supplier profits and pricing power: Modelling the impact of a tobacco price cap and tax increase on socioeconomic inequalities in England.

Social science & medicine (1982)·2026
Same author

Neoadjuvant, adjuvant, and perioperative therapy comparisons in muscle-invasive bladder cancer: Clinical and methodological considerations for the interpretation of network meta-analytic findings.

Urologic oncology·2026
Same author

Changes in out-of-home food purchasing following the introduction of England's calorie labelling regulations: a population-level controlled interrupted time series analysis.

BMJ public health·2026

Related Experiment Video

Updated: May 6, 2026

Modeling Alcohol Consumption in Rodents Using Two-Bottle Choice Home Cage Drinking and Microstructural Analysis
08:45

Modeling Alcohol Consumption in Rodents Using Two-Bottle Choice Home Cage Drinking and Microstructural Analysis

Published on: November 8, 2024

1.5K

Estimation of usual occasion-based individual drinking patterns using diary survey data.

Daniel Hill-McManus1, Colin Angus1, Yang Meng1

  • 1School of Health and Related Research, University of Sheffield, Regent Court, 30 Regent Street, S1 4DA, UK.

Drug and Alcohol Dependence
|October 17, 2013
PubMed
Summary

Measuring national drinking patterns is crucial for addressing excessive alcohol consumption. This study introduces a statistical method combining survey measures to better characterize drinking behavior and reduce limitations of traditional methods.

Keywords:
Binge drinkingBlood alcohol contentDiary dataDrinking occasionDrinking patternsSurvey measures

More Related Videos

The Motivation for Alcohol Reward: Predictors of Progressive-Ratio Intravenous Alcohol Self-Administration in Humans
05:40

The Motivation for Alcohol Reward: Predictors of Progressive-Ratio Intravenous Alcohol Self-Administration in Humans

Published on: April 28, 2022

3.2K
Murine Drinking Models in the Development of Pharmacotherapies for Alcoholism: Drinking in the Dark and Two-bottle Choice
07:31

Murine Drinking Models in the Development of Pharmacotherapies for Alcoholism: Drinking in the Dark and Two-bottle Choice

Published on: January 7, 2019

7.5K

Related Experiment Videos

Last Updated: May 6, 2026

Modeling Alcohol Consumption in Rodents Using Two-Bottle Choice Home Cage Drinking and Microstructural Analysis
08:45

Modeling Alcohol Consumption in Rodents Using Two-Bottle Choice Home Cage Drinking and Microstructural Analysis

Published on: November 8, 2024

1.5K
The Motivation for Alcohol Reward: Predictors of Progressive-Ratio Intravenous Alcohol Self-Administration in Humans
05:40

The Motivation for Alcohol Reward: Predictors of Progressive-Ratio Intravenous Alcohol Self-Administration in Humans

Published on: April 28, 2022

3.2K
Murine Drinking Models in the Development of Pharmacotherapies for Alcoholism: Drinking in the Dark and Two-bottle Choice
07:31

Murine Drinking Models in the Development of Pharmacotherapies for Alcoholism: Drinking in the Dark and Two-bottle Choice

Published on: January 7, 2019

7.5K

Area of Science:

  • Nutrition and Dietetics
  • Public Health
  • Statistical Modeling

Background:

  • Accurate measurement of national alcohol consumption is vital for public health initiatives.
  • Traditional survey methods have limitations in capturing the multi-dimensional nature of drinking patterns.
  • Excessive alcohol consumption requires robust methods for monitoring population-level drinking behavior.

Purpose of the Study:

  • To develop and demonstrate a statistical method for combining different survey measures of alcohol consumption.
  • To overcome the limitations of traditional survey methods in assessing national drinking patterns.
  • To enhance the accuracy of measuring alcohol consumption and its associated risks.

Main Methods:

  • Utilized data from 1724 respondents of the 2000/01 National Diet and Nutrition Survey.
  • Constructed a drinking occasion dataset by plotting blood alcohol content over time for each respondent.
  • Employed statistical methods to estimate usual drinking behavior, including frequency, level, and variation.

Main Results:

  • Identified complex patterns in drinking behavior across different population subgroups.
  • Developed a predicted drinking distribution that combines the coverage of diary data with a more accurate proportion of non-drinkers.
  • Demonstrated the effectiveness of the combined statistical approach in characterizing drinking patterns.

Conclusions:

  • The statistical analysis successfully provides average consumption measures from diary data, mitigating a key limitation.
  • This method facilitates the use of detailed survey data in applications like risk modeling for acute harms.
  • The approach is valuable for burden of disease studies and other public health research requiring accurate alcohol consumption data.