Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Bias

Bias

Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...

You might also read

Related Articles

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

Sort by

Same author

Psychedelics Trials and Outcomes-A Closer Look.

JAMA psychiatry·2026

Same author

Redefining the real problem in psychedelic trials: Why fighting the Lessebo matters more than blinding integrity.

The International journal on drug policy·2026

Same author

Glucagon-Like Peptide-1 Receptor Agonists in Cocaine Use Disorder: Clinical Observations and Underlying Mechanisms.

Fundamental & clinical pharmacology·2026

Same author

Daily alcohol consumption trajectories and user retention during a national temporary abstinence campaign: real-world data from a smartphone application.

BMC medicine·2026

Same author

Thirty Years of Ibogaine Research: A Literature Review on Clinical Perspectives.

Journal of clinical psychopharmacology·2026

Same author

Postoperative Hepatic Arterial Infusion With Oxaliplatin After Surgery of Four or More Colorectal Liver Metastases: A Randomized Phase II Trial.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology·2026

Search research articles

Related Experiment Video

Updated: Mar 21, 2026

Transcranial Direct Current Stimulation for Online Gamers

Transcranial Direct Current Stimulation for Online Gamers

Published on: November 9, 2019

Tracking online poker problem gamblers with player account-based gambling data only.

Amandine Luquiens^1,2,3, Marie-Laure Tanguy⁴, Amine Benyamina^1,2,3

¹Hôpital Paul Brousse, AP-HP, Villejuif, France.

International Journal of Methods in Psychiatric Research

|May 21, 2016

Summary

This study developed a tool using player account-based gambling data (PABGD) to identify online problem poker gamblers. The validated instrument effectively tracks at-risk individuals based on gambling behavior patterns.

Keywords:

addiction impulse control disorder online problem gambling poker gambling prevention psychometrics tracking instrument validation

More Related Videos

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

Related Experiment Videos

Last Updated: Mar 21, 2026

Transcranial Direct Current Stimulation for Online Gamers

Transcranial Direct Current Stimulation for Online Gamers

Published on: November 9, 2019

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

Area of Science:

Behavioral addiction research
Computational social science
Digital health

Background:

Problem gambling is a significant public health concern.
Online gambling platforms generate vast amounts of player account-based gambling data (PABGD).
Identifying problem gamblers in real-time is crucial for timely intervention.

Purpose of the Study:

To develop and validate an instrument for tracking online problem poker gamblers.
To utilize PABGD for creating a predictive model of problem gambling.
To assess the feasibility of using PABGD for problem gambler identification.

Main Methods:

A predictive model was built using stepwise logistic regression on PABGD.
The Problem Gambling Severity Index (PGSI) served as the gold standard for validation.
14,261 active online poker gamblers from Winamax participated.

Main Results:

18% of participants were identified as online poker problem gamblers (PGSI ≥ 5).
Key risk factors identified include male gender, younger age (<28), compulsive behavior, and specific deposit, loss, stake, and session frequency thresholds.
The developed tracking instrument demonstrated 80% sensitivity and 50% specificity.

Conclusions:

It is feasible to develop and validate instruments for tracking online problem gamblers using only PABGD.
The predictive model offers a promising method for early identification and intervention.
Further research can refine this approach for broader application in online gambling settings.