Using Epidemiological Test Diagnostics to Select Fraud Detection Methods: Secondary Analysis of Quantitative Cross-Sectional Survey Data

20260 citationsJournal Articlegold Open Access

Authors

Rachel Willard-Grace · University of California, San Francisco

Tali Klima · SC Solutions (United States)

Mansi Dedhia · University of California, San Francisco

Emily Lo · University of California, San Francisco

Annie Nisnevich · University of California, San Francisco

Allison Gray · Lucile Packard Foundation for Childrens Health

Holly Henry

Abstract

Fraudulent data entry using bots is increasing in survey research. Sharing flexible protocols to identify and mitigate them in a way that is responsive to their ever-changing nature is vital to ensuring that researchers elevate the voices of real people within survey research to inform policy and programmatic discussions.

Topics & Keywords

Survey Methodology and Nonresponse Imbalanced Data Classification Techniques Statistical Methods in Epidemiology

Publication Details

Published in: Journal of Medical Internet Research

Volume 28, pp. e85161-e85161

DOI: 10.2196/85161

Field-Weighted Citation Impact: 0.00

Command Palette

Using Epidemiological Test Diagnostics to Select Fraud Detection Methods: Secondary Analysis of Quantitative Cross-Sectional Survey Data

Authors

Abstract

Topics & Keywords

Publication Details