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Bias Adjustment Techniques Are Underutilized in HIV Sexual Risk Estimation: A Systematic Review

Authors
  • Tran, Nguyen K.
  • Goldstein, Neal D.
  • Welles, Seth L.
Publication Date
Aug 09, 2018
Source
MDPI
Keywords
Language
English
License
Green
External links

Abstract

12% (n = 4) did not report exposure misclassification, and 6% (n = 2) explicitly considered this information bias and conducted a Bayesian approach to correct for misclassification. Conclusions: Our systematic review indicates that a majority of studies engaging in collecting primary data have taken additional steps to acquire detailed information regarding sexual risk behaviors. However, reliance on population-based surveys may still lead to potentially biased estimates. Thus, bias analytic techniques are potential tools to control for any suspected biases.

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