[Potential biases in epidemiological studies using respondent-driven sampling method: a comparison between its face-to-face and online application.]

In epidemiological and social studies on populations without a sampling frame or that are hard to reach, respondent-driven sampling (RDS), under certain assumptions, has the potential to produce asymptotically unbiased and efficient population estimates for these populations. While RDS is typically conducted face-to-face, the online version (WebRDS) has gained attention due to its potential advantages, although its disadvantages have also raised concern. The objective of this study was to contrast these two formats at the level of application and potential biases, where the online version offers improved speed and lower costs but raises concerns about potential biases due to a lack of face-to-face instructions regarding definition of the social network size and peer-recruiting process. Both formats can generate unbiased estimates, however, it's crucial to carefully consider potential sources of bias to meet the necessary assumptions. Therefore, it is important to continue researching the most appropriate analytical approaches to address the specific biases of each modality.

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PubMed
Published
2024-12-04
Primary Topic
Mobile Health and mHealth Applications
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article
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article

[Potential biases in epidemiological studies using respondent-driven sampling method: a comparison between its face-to-face and online application.]

Valeria Stuardo Ávila, Pedro Ferrer‐Rosende, Mauricio Fuentes Alburquenque, Laura Esteve‐Matalí et al.
PubMed
Mobile Health and mHealth Applications
article

[Potential biases in epidemiological studies using respondent-driven sampling method: a comparison between its face-to-face and online application.]

Valeria Stuardo Ávila, Pedro Ferrer‐Rosende, Mauricio Fuentes Alburquenque, Laura Esteve‐Matalí, Albert Navarro
article en

Abstract

In epidemiological and social studies on populations without a sampling frame or that are hard to reach, respondent-driven sampling (RDS), under certain assumptions, has the potential to produce asymptotically unbiased and efficient population estimates for these populations. While RDS is typically conducted face-to-face, the online version (WebRDS) has gained attention due to its potential advantages, although its disadvantages have also raised concern. The objective of this study was to contrast these two formats at the level of application and potential biases, where the online version offers improved speed and lower costs but raises concerns about potential biases due to a lack of face-to-face instructions regarding definition of the social network size and peer-recruiting process. Both formats can generate unbiased estimates, however, it's crucial to carefully consider potential sources of bias to meet the necessary assumptions. Therefore, it is important to continue researching the most appropriate analytical approaches to address the specific biases of each modality.

PubMedVol. 98
Universitat Autònoma de Barcelona (ES), Instituto de Salud Pública de Chile (CL), Universidad Andrés Bello (CL), University of Chile (CL)
Openalex Percentile: Top 60%
Mobile Health and mHealth Applications
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