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Assessing Bias in Population Size Estimates Among Hidden Populations When Using the Service Multiplier Method Combined With Respondent-Driven Sampling Surveys: Survey Study.

Sungai T ChabataElizabeth FearonEmily L WebbHelen Anne WeissJames R HargreavesFrances Mary Cowan
Published in: JMIR public health and surveillance (2020)
We used a series of rigorous methods to explore potential biases in our PSEs. We were able to identify the biases and their potential direction, but we could not determine the ultimate direction of these biases in our PSEs. We have evidence that the PSEs in most sites may be biased and a suggestion that the bias is toward underestimation, and this should be considered if the PSEs are to be used. These tests for bias should be included when undertaking population size estimation using the SMM combined with RDS surveys.
Keyphrases
  • cross sectional
  • healthcare
  • mental health
  • human health