On The Robustness Of Respondent-Driven Sampling Estimators To Measurement Error.
J Surv Stat Methodol
; 10(2): 377-396, 2022 Apr.
Article
em En
| MEDLINE
| ID: mdl-35449603
ABSTRACT
Respondent-driven sampling (RDS) is a popular method of conducting surveys in hard to reach populations where strong assumptions are required in order to make valid statistical inferences. In this paper we investigate the assumption that network degrees are measured accurately by the RDS survey and find that there is likely significant measurement error present in typical studies. We prove that most RDS estimators remain consistent under an imperfect measurement model with little to no added bias, though the variance of the estimators does increase.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Idioma:
En
Revista:
J Surv Stat Methodol
Ano de publicação:
2022
Tipo de documento:
Article