TY  - THES
AB  - Accurate estimation of HIV/AIDS prevalence and incidence among hard‑to‑reach populations, such as men who have sex with men (MSM), is limited by poor data on population size and sexual behavior. Respondent‑Driven Sampling (RDS) offers a promising method for accessing these concealed groups, yet practical challenges remain. Following an unsuccessful attempt to implement an anonymous web‑based RDS model, we conducted a simulation study to assess how transition probabilities, network sizes, and seed selection influence equilibrium, sample composition, observed prevalence, and reciprocity. Findings highlight the importance of pilot data to inform network parameters, careful seed selection, and a deliberate incentive structure for successful RDS implementation.
AD  - Oregon Health and Science University
AU  - Franklin, Heather
DA  - 2010
DO  - 10.6083/M4X63JX4
DO  - DOI
ED  - Lapidus, Jodi
ED  - Chair
ID  - 611
KW  - Population
KW  - Methods
KW  - User-Computer Interface
KW  - Data Collection
KW  - Sampling Studies
KW  - Internet
KW  - Homosexuality, Male
KW  - Sexual and Gender Minorities
KW  - HIV
KW  - Acquired Immunodeficiency Syndrome
KW  - User-Computer Interface
KW  - statistical methods
KW  - human-computer interaction
KW  - statistical sampling
L1  - https://digitalcollections.ohsu.edu/record/611/files/612_etd.pdf
L2  - https://digitalcollections.ohsu.edu/record/611/files/612_etd.pdf
L4  - https://digitalcollections.ohsu.edu/record/611/files/612_etd.pdf
LK  - https://digitalcollections.ohsu.edu/record/611/files/612_etd.pdf
N2  - Accurate estimation of HIV/AIDS prevalence and incidence among hard‑to‑reach populations, such as men who have sex with men (MSM), is limited by poor data on population size and sexual behavior. Respondent‑Driven Sampling (RDS) offers a promising method for accessing these concealed groups, yet practical challenges remain. Following an unsuccessful attempt to implement an anonymous web‑based RDS model, we conducted a simulation study to assess how transition probabilities, network sizes, and seed selection influence equilibrium, sample composition, observed prevalence, and reciprocity. Findings highlight the importance of pilot data to inform network parameters, careful seed selection, and a deliberate incentive structure for successful RDS implementation.
PB  - Oregon Health and Science University
PY  - 2010
T1  - Implications for researchers employing web-based respondent driven sampling
TI  - Implications for researchers employing web-based respondent driven sampling
UR  - https://digitalcollections.ohsu.edu/record/611/files/612_etd.pdf
Y1  - 2010
ER  -