The phrase "biased prevalence" is correct and usable in written English.
It can be used in contexts discussing statistics, research, or studies where the prevalence of a condition or trait is influenced by bias.
Example: "The study revealed a biased prevalence of the disease in certain demographics, raising concerns about the validity of the findings."
Alternatives: "skewed prevalence" or "distorted prevalence."
Participant selection/recruitment issues may have biased prevalence estimates, but the direction of these biases is uncertain.
The use of the GLI reference values may produce biased prevalence estimates of airway obstruction in Sweden, especially among women.
On the other hand, among those invited to participate, workers with pain may have been more inclined to take part, which would have biased prevalence estimates upwards.
Duron et al. [ 6] suggested manipulative effects by reporting a sex biased prevalence of Wolbachia in the spiders Tetragnatha montana and Meta mengei.
However, the proportion of interviewed adolescents living in RYC was small in this study, and interviewing only high scorers could result in biased prevalence rates.
The use of the LLN criterion for airway obstruction based on the GLI reference values for the FEV1/FVC ratio may produce biased prevalence estimates of airway obstruction in Sweden, in particular among women.
Our results indicate that considerable attrition and selective response only somewhat biased that prevalence estimates of health problems among survivors.
This may have biased the prevalence estimates of MDD, especially in the case of small samples [ 33].
Furthermore, none of the previous studies after disasters have examined whether selective response biased the prevalence estimates of the health problems among survivors.
Such invalid responses not only bias prevalence estimates but may also obscure associations with individual predictors.
Concordance was assessed by: proportion of observed agreement; Byrt's [23] kappa (measures the relationship between two respondent groups, corrected for bias); prevalence (when one response is more probable than another) and bias (when marginal distributions for the raters are unequal) indices [23]; and proportions of positive and negative agreement [24] (see Additional file 3).
