The authors develop a Markov-process model for multivariate differential recruitment in RDS data, extending prevalence estimators and neighborhood bootstrap variance estimation to handle multiple simultaneous covariates.
D., Semaan, S., Broadhead, R
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Inference from multivariate differential recruitment in respondent-driven sampling data
The authors develop a Markov-process model for multivariate differential recruitment in RDS data, extending prevalence estimators and neighborhood bootstrap variance estimation to handle multiple simultaneous covariates.